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Prepare confidently for the AWS MLS-C01 certification with this comprehensive and up-to-date exam guide, accompanied by web-based tools such as mock exams, flashcards, and exam tipsKey Features:Gain proficiency in AWS machine learning services to excel in the MLS-C01 examBuild model training and inference pipelines and deploy machine learning models to the AWS cloudPractice on the go with the mobile-friendly bonus website, accessible with the bookPurchase of the print or Kindle book includes a free PDF eBookBook Description:The AWS Certified Machine Learning Specialty (MLS-C01) exam evaluates your ability to execute machine learning tasks on AWS infrastructure. This comprehensive book aligns with the latest exam syllabus, offering practical examples to support your real-world machine learning projects on AWS. Additionally, you'll get lifetime access to supplementary online resources, including mock exams with exam-like timers, detailed solutions, interactive flashcards, and invaluable exam tips, all accessible across various devices-PCs, tablets, and smartphones.Throughout the book, you'll learn data preparation techniques for machine learning, covering diverse methods for data manipulation and transformation across different variable types. Addressing challenges such as missing data and outliers, the book guides you through an array of machine learning tasks including classification, regression, clustering, forecasting, anomaly detection, text mining, and image processing, accompanied by requisite machine learning algorithms essential for exam success. The book helps you master the deployment of models in production environments and their subsequent monitoring.Equipped with insights from this book and the accompanying mock exams, you'll be fully prepared to achieve the AWS MLS-C01 certification.What You Will Learn:Identify ML frameworks for specific tasksApply CRISP-DM to build ML pipelinesCombine AWS services to build AI/ML solutionsApply various techniques to transform your data, such as one-hot encoding, binary encoder, ordinal encoding, binning, and text transformationsVisualize relationships, comparisons, compositions, and distributions in the dataUse data preparation techniques and AWS services for batch and real-time data processingCreate training and inference ML pipelines with Sage MakerDeploy ML models in a production environment efficientlyWho this book is for:This book is designed for both students and professionals preparing for the AWS Certified Machine Learning Specialty exam or enhance their understanding of machine learning, with a specific emphasis on AWS. Familiarity with machine learning basics and AWS services is recommended to fully benefit from this book.

Meta Description: With a wealth of practical recipes, this third edition isn't just a guide to C++23; it's a complete resource covering key features and techniques from C++11 through to C++23. It's designed to keep you ahead of the curve in C++.Key Features:- Updated and packed with new recipes, including sync streams, std:expected and std:mdspan, and C++20/23 range adaptors- Covers all significant features from all modern versions of the standard, providing comprehensive insights into modern C++- Learn through a series of hands-on, self-contained recipes- Purchase of the print or Kindle book includes a free eBook in PDF formatBook Description:The updated third edition of Modern C++ Programming Cookbook addresses the latest features of C++23, such as the stacktrace library, std::expected and std::mdspan classes, the header, formatting library improvements, and updates to the ranges library. It also gets into more C++20 topics not previously covered, such as sync streams and source_location.The book is organized into practical recipes covering a wide range of real-world problems, helping you find the solutions you need quickly. You'll find coverage of all the core concepts of modern C++ programming and features and techniques from C++11 through to C++23, meaning you'll stay ahead of the curve by learning to incorporate the newest language and library improvements.Beyond the core concepts and new features, you'll explore recipes related to performance and best practices, how to implement useful patterns and idioms, like pimpl, named parameter, attorney-client, and the factory pattern, and how to complete unit testing with the widely used C++ libraries: Boost.Test, Google Test, and Catch2.With the comprehensive coverage this C++ programming guide offers, by the end of the book you'll have everything you need to build performant, scalable, and efficient applications in C++.What You Will Learn:- Explore the new C++23 language and library features- Go deep into the most useful C++20 features- Learn to handle threading and concurrency for better performance- Solve complex string manipulation tasks efficiently with regex- Leverage the standard library for faster development- Master the filesystem library to work with files and directories- Work with different types of strings and understand compilation- See how you can use CRTP, mixins and other patterns in C++Who this book is for:This book is designed for entry- and intermediate-level programmers who already have a foundational understanding of the C++ programming language, but who are looking to master the language, implement the newest features, and become proficient modern C++ developers. Experienced C++ programmers can leverage the recipes in this book to quickly get up to speed on all the most important language and library features of C++11/14/17/20 and 23.Table of Contents- Learning Modern Core Language Features- Working with Numbers and Strings- Exploring Functions- Preprocessing and Compilation- Standard Library Containers, Algorithms, and Iterators- General-Purpose Utilities- Working with Files and Streams- Leveraging Threading and Concurrency- Robustness and Performance- Implementing Patterns and Idioms- Exploring Testing Frameworks- C++23 Features

Harness the power of Microsoft Fabric to develop data analytics solutions for various use cases guided by step-by-step instructionsKey FeaturesExplore Microsoft Fabric and its features through real-world examplesBuild data analytics solutions for lakehouses, data warehouses, real-time analytics, and data scienceMonitor, manage, and administer your Fabric platform and analytics system to ensure flexibility, performance, security, and controlPurchase of the print or Kindle book includes a free PDF eBookBook DescriptionDiscover the capabilities of Microsoft Fabric, the premier unified solution designed for the AI era, seamlessly combining data integration, OneLake, transformation, visualization, universal security, and a unified business model. This book provides an overview of Microsoft Fabric, its components, and the wider analytics landscape.In this book, you'll explore workloads such as Data Factory, Synapse Data Engineering, data science, data warehouse, real-time analytics, and Power BI. You'll learn how to build end-to-end lakehouse and data warehouse solutions using the medallion architecture, unlock the real-time analytics, and implement machine learning and AI models. As you progress, you'll build expertise in monitoring workloads and administering Fabric across tenants, capacities, and workspaces. The book also guides you step by step through enhancing security and governance practices in Microsoft Fabric and implementing CI/CD workflows with Azure DevOps or GitHub. Finally, you'll discover the power of Copilot, an AI-driven assistant that accelerates your analytics journey.By the end of this book, you'll have unlocked the full potential of AI-driven data analytics, gaining a comprehensive understanding of the analytics landscape and mastery over the essential concepts and principles of Microsoft Fabric.What you will learnGet acquainted with the different services available in Microsoft FabricBuild end-to-end data analytics solution to scale and manage high performanceIntegrate data from different types of data sourcesApply transformation with Spark, Notebook, and T-SQLUnderstand and implement real-time stream processing and data science capabilitiesPerform end-to-end processes for building data analytics solutions in the AI eraDrive insights by leveraging Power BI for reporting and visualizationImprove productivity with AI assistance and Copilot integrationWho this book is forThis book is for data professionals, including data analysts, data engineers, data scientists, data warehouse developers, ETL developers, business analysts, AI/ML professionals, software developers, and Chief Data Officers who want to build a future-ready data analytics solution for long-term success in the AI era.For PySpark and SQL students entering the data analytics field, this book offers a broad foundation for developing the skills to build end-to-end analytics systems for various use cases. Basic knowledge of SQL and Spark is assumed.Table of ContentsOverview of Microsoft Fabric and Understanding Its Different ConceptsUnderstanding Different Workloads and Getting Started with Microsoft Fabric Building an End-to-End Analytics System - LakehouseBuilding an End-to-End Analytics System - Data WarehouseBuilding an End-to-End Analytics System - Real-Time AnalyticsBuilding an End-to-End Analytics System - Data ScienceMonitoring Overview and Monitoring Different WorkloadsAdministering FabricSecurity and Governance Overview(N.B. Please use the Look Inside option to see further chapters)

A practical guide to deploying, managing, and leveraging the power of Microsoft's unified security solutionKey Features- Learn how to leverage Microsoft's XDR and SIEM for long-term resilience- Explore ways to elevate your security posture using Microsoft Defender tools such as MDI, MDE, MDO, MDA, and MDC- Discover strategies for proactive threat hunting and rapid incident response- Purchase of the print or Kindle book includes a free PDF eBookBook DescriptionTired of dealing with fragmented security tools and navigating endless threat escalations? Take charge of your cyber defenses with the power of Microsoft's unified XDR and SIEM solution.This comprehensive guide offers an actionable roadmap to implementing, managing, and leveraging the full potential of the powerful unified XDR + SIEM solution, starting with an overview of Zero Trust principles and the necessity of XDR + SIEM solutions in modern cybersecurity. From understanding concepts like EDR, MDR, and NDR and the benefits of the unified XDR + SIEM solution for SOC modernization to threat scenarios and response, you'll gain real-world insights and strategies for addressing security vulnerabilities. Additionally, the book will show you how to enhance Secure Score, outline implementation strategies and best practices, and emphasize the value of managed XDR and SIEM solutions. That's not all; you'll also find resources for staying updated in the dynamic cybersecurity landscape.By the end of this insightful guide, you'll have a comprehensive understanding of XDR, SIEM, and Microsoft's unified solution to elevate your overall security posture and protect your organization more effectively.What You Will Learn- Optimize your security posture by mastering Microsoft's robust and unified solution- Understand the synergy between Microsoft Defender's integrated tools and Sentinel SIEM and SOAR- Explore practical use cases and case studies to improve your security posture- See how Microsoft's XDR and SIEM proactively disrupt attacks, with examples- Implement XDR and SIEM, incorporating assessments and best practices- Discover the benefits of managed XDR and SOC services for enhanced protectionWho this book is forThis comprehensive guide is your key to unlocking the power of Microsoft's unified XDR and SIEM offering. Whether you're a cybersecurity pro, incident responder, SOC analyst, or simply curious about these technologies, this book has you covered.CISOs, IT leaders, and security professionals will gain actionable insights to evaluate and optimize their security architecture with Microsoft's integrated solution. This book will also assist modernization-minded organizations to maximize existing licenses for a more robust security posture.Table of Contents- Introduction to Zero Trust- Introduction to XDR & SIEM- Microsoft Unified XDR and SIEM Solution- Power of Investigation and SOC Experience with Microsoft XDR + SIEM- Defend attacks with Microsoft XDR + SIEM- Security Misconfigurations & Vulnerability Management- Assess and Improve Secure Score- XDR implementation Strategy, Roadmap and Best Practices- Managed XDR & SIEM- Useful Resources & References

The definitive guide to LLMs, from architectures, pretraining, and fine-tuning to Retrieval Augmented Generation (RAG), multimodal Generative AI, risks, and implementations with ChatGPT Plus with GPT-4, Hugging Face, and Vertex AIKey Features- Compare and contrast 20+ models (including GPT-4, BERT, and Llama 2) and multiple platforms and libraries to find the right solution for your project- Apply RAG with LLMs using customized texts and embeddings- Mitigate LLM risks, such as hallucinations, using moderation models and knowledge bases- Purchase of the print or Kindle book includes a free eBook in PDF formatBook DescriptionTransformers for Natural Language Processing and Computer Vision, Third Edition, explores Large Language Model (LLM) architectures, applications, and various platforms (Hugging Face, OpenAI, and Google Vertex AI) used for Natural Language Processing (NLP) and Computer Vision (CV).The book guides you through different transformer architectures to the latest Foundation Models and Generative AI. You'll pretrain and fine-tune LLMs and work through different use cases, from summarization to implementing question-answering systems with embedding-based search techniques. You will also learn the risks of LLMs, from hallucinations and memorization to privacy, and how to mitigate such risks using moderation models with rule and knowledge bases. You'll implement Retrieval Augmented Generation (RAG) with LLMs to improve the accuracy of your models and gain greater control over LLM outputs.Dive into generative vision transformers and multimodal model architectures and build applications, such as image and video-to-text classifiers. Go further by combining different models and platforms and learning about AI agent replication.This book provides you with an understanding of transformer architectures, pretraining, fine-tuning, LLM use cases, and best practices.What you will learn- Breakdown and understand the architectures of the Original Transformer, BERT, GPT models, T5, PaLM, ViT, CLIP, and DALL-E- Fine-tune BERT, GPT, and PaLM 2 models- Learn about different tokenizers and the best practices for preprocessing language data- Pretrain a RoBERTa model from scratch- Implement retrieval augmented generation and rules bases to mitigate hallucinations- Visualize transformer model activity for deeper insights using BertViz, LIME, and SHAP- Go in-depth into vision transformers with CLIP, DALL-E 2, DALL-E 3, and GPT-4VWho this book is forThis book is ideal for NLP and CV engineers, software developers, data scientists, machine learning engineers, and technical leaders looking to advance their LLMs and generative AI skills or explore the latest trends in the field.Knowledge of Python and machine learning concepts is required to fully understand the use cases and code examples. However, with examples using LLM user interfaces, prompt engineering, and no-code model building, this book is great for anyone curious about the AI revolution.Table of Contents- What are Transformers?- Getting Started with the Architecture of the Transformer Model- Emergent vs Downstream Tasks: The Unseen Depths of Transformers- Advancements in Translations with Google Trax, Google Translate, and Gemini- Diving into Fine-Tuning through BERT- Pretraining a Transformer from Scratch through RoBERTa- The Generative AI Revolution with ChatGPT- Fine-Tuning OpenAI GPT Models- Shattering the Black Box with Interpretable Tools- Investigating the Role of Tokenizers in Shaping Transformer Models(N.B. Please use the Read Sample option to see further chapters)

Delve into the second edition to master serverless proficiency and explore new chapters on security techniques, multi-regional deployment, and optimizing observability.Key FeaturesGain insights from a seasoned CTO on best practices for designing enterprise-grade software systemsDeepen your understanding of system reliability, maintainability, observability, and scalability with real-world examplesElevate your skills with software design patterns and architectural concepts, including securing in-depth and running in multiple regions.Book DescriptionOrganizations undergoing digital transformation rely on IT professionals to design systems to keep up with the rate of change while maintaining stability. With this edition, enriched with more real-world examples, you'll be perfectly equipped to architect the future for unparalleled innovation.This book guides through the architectural patterns that power enterprise-grade software systems while exploring key architectural elements (such as events-driven microservices, and micro frontends) and learning how to implement anti-fragile systems.First, you'll divide up a system and define boundaries so that your teams can work autonomously and accelerate innovation. You'll cover the low-level event and data patterns that support the entire architecture while getting up and running with the different autonomous service design patterns.This edition is tailored with several new topics on security, observability, and multi-regional deployment. It focuses on best practices for security, reliability, testability, observability, and performance. You'll be exploring the methodologies of continuous experimentation, deployment, and delivery before delving into some final thoughts on how to start making progress.By the end of this book, you'll be able to architect your own event-driven, serverless systems that are ready to adapt and change.What you will learnExplore architectural patterns to create anti-fragile systems.Focus on DevSecOps practices that empower self-sufficient, full-stack teamsApply microservices principles to the frontendDiscover how SOLID principles apply to software and database architectureGain practical skills in deploying, securing, and optimizing serverless architecturesDeploy a multi-regional system and explore the strangler pattern for migrating legacy systemsMaster techniques for collecting and utilizing metrics, including RUM, Synthetics, and Anomaly detection.Who this book is forThis book is for software architects who want to learn more about different software design patterns and best practices. This isn't a beginner's manual - you'll need an intermediate level of programming proficiency and software design experience to get started.You'll get the most out of this software design book if you already know the basics of the cloud, but it isn't a prerequisite.Table of ContentsArchitecting for InnovationsDefining Boundaries and Letting GoTaming the Presentation TierTrusting Facts and Eventual ConsistencyTurning the Cloud into the DatabaseA Best Friend for the FrontendBridging Intersystem GapsReacting to Events with More EventsRunning in Multiple RegionsSecuring Autonomous Subsystems in DepthChoreographing Deployment and DeliveryOptimizing ObservabilityDon't Delay, Start Experimenting

Unleash DevOps excellence with Python and its ecosystem of tools for seamless orchestration on both local and cloud platforms, such as GCP, AWS, and AzureKey FeaturesIntegrate Python into DevOps for streamlined workflows, task automation, and improved collaborationCombine the principles of Python and DevOps into a unified approach for problem solvingLearn about Python's role in Infrastructure as Code (IaC), MLOps, networking, and other domainsPurchase of the print or Kindle book includes a free PDF eBookBook DescriptionPython stands out as a powerhouse in DevOps, boasting unparalleled libraries and support, which makes it the preferred programming language for problem solvers worldwide. This book will help you understand the true flexibility of Python, demonstrating how it can be integrated into incredibly useful DevOps workflows and workloads, through practical examples.You'll start by understanding the symbiotic relation between Python and DevOps philosophies and then explore the applications of Python for provisioning and manipulating VMs and other cloud resources to facilitate DevOps activities. With illustrated examples, you'll become familiar with automating DevOps tasks and learn where and how Python can be used to enhance CI/CD pipelines. Further, the book highlights Python's role in the Infrastructure as Code (IaC) process development, including its connections with tools like Ansible, SaltStack, and Terraform. The concluding chapters cover advanced concepts such as MLOps, DataOps, and Python's integration with generative AI, offering a glimpse into the areas of monitoring, logging, Kubernetes, and more.By the end of this book, you'll know how to leverage Python in your DevOps-based workloads to make your life easier and save time.What you will learnImplement DevOps practices and principles using PythonEnhance your DevOps workloads with PythonCreate Python-based DevOps solutions to improve your workload efficiencyUnderstand DevOps objectives and the mindset needed to achieve themUse Python to automate DevOps tasks and increase productivityExplore the concepts of DevSecOps, MLOps, DataOps, and moreUse Python for containerized workloads in Docker and KubernetesWho this book is forThis book is for IT professionals venturing into DevOps, particularly programmers seeking to apply their existing programming knowledge to excel in this field. For DevOps professionals without a coding background, this book serves as a resource to enhance their understanding of development practices and communicate more effectively with developers. Solutions architects, programmers, and anyone regularly working with DevOps solutions and Python will also benefit from this hands-on guide.Table of ContentsIntroducing DevOps PrinciplesTalking about PythonThe Simplest Ways to Start Using DevOps in Python ImmediatelyProvisioning ResourcesManipulating ResourcesSecurity and DevSecOps with PythonAutomating TasksUnderstanding Event-Driven ArchitectureUsing Python for CI/CD PipelinesCommon DevOps Use Cases in Some of the Biggest Companies in the WorldMLOps and DataOpsHow Python Integrates with IaC ConceptsThe Tools to Take Your DevOps to the Next Level

Explore the C++ 23 STL with practical guidance on vectors, algorithms, and custom types for intermediate developers, enriched by real-world examples.Key FeaturesMaster the std::vector and understand why it should be your default container of choiceUnderstand each STL algorithm and its practical applicationsGain insights into advanced topics such as exception guarantees and thread safetyPurchase of the print or Kindle book includes a free PDF eBookBook DescriptionWhile the Standard Template Library (STL) offers a rich set of tools for data structures and algorithms, navigating its intricacies can be daunting for intermediate C++ developers without expert guidance. This book offers a thorough exploration of the STL's components, covering fundamental data structures, advanced algorithms, and concurrency features.Starting with an in-depth analysis of the std::vector, this book highlights its pivotal role in the STL, progressing toward building your proficiency in utilizing vectors, managing memory, and leveraging iterators. The book then advances to STL's data structures, including sequence containers, associative containers, and unordered containers, simplifying the concepts of container adaptors and views to enhance your knowledge of modern STL programming. Shifting the focus to STL algorithms, you'll get to grips with sorting, searching, and transformations and develop the skills to implement and modify algorithms with best practices. Advanced sections cover extending the STL with custom types and algorithms, as well as concurrency features, exception safety, and parallel algorithms.By the end of this book, you'll have transformed into a proficient STL practitioner ready to tackle real-world challenges and build efficient and scalable C++ applications.What you will learnStreamline data handling using the std::vectorMaster advanced usage of STL iteratorsOptimize memory in STL containersImplement custom STL allocatorsApply sorting and searching with STL algorithmsCraft STL-compatible custom typesManage concurrency and ensure thread safety in STLHarness the power of parallel algorithms in STLWho this book is forThis book is for intermediate-level C++ developers looking to enhance their software development skills. Familiarity with basic C++ syntax and object-oriented programming (OOP) as well as some exposure to data structures and algorithms is assumed.Tailored to software engineers, computer science students, and hobbyist programmers, this book delves into C++ STL for practical application, performance enhancement, and efficient coding practices.Table of ContentsThe Basics of std::vectorMastering Iterators with std::vectorMastering Memory and Allocators with std::vectorMastering Algorithms with std::vectorMaking a Case for std::vectorAdvanced Sequence Container UsageAdvanced Ordered Associative Container UsageAdvanced Unordered Associative Container UsageAdvanced Container Adaptor UsageAdvanced Container View UsageFundamental Algorithms and SearchingManipulation and TransformationNumeric and Range-Based OperationsPermutations, Partitions, and HeapsSTL with RangesCreating STL-Types ContainersCreating STL-Compatible AlgorithmsType Traits and PoliciesException SafetyThread Safety and Concurrency with the STLSTL Interaction with Concepts and CoroutinesParallel Algorithms with the STL

Troubleshoot query performance issues, identify anti-patterns in your code, and write efficient T-SQL queries with this guide for T-SQL developersKey Features:- A definitive guide to mastering the techniques of writing efficient T-SQL code- Learn query optimization fundamentals, query analysis, and how query structure impacts performance- Discover insightful solutions to detect, analyze, and tune query performance issues- Purchase of the print or Kindle book includes a free PDF eBookBook Description:Data professionals seeking to excel in Transact-SQL for Microsoft SQL Server and Azure SQL Database often lack comprehensive resources. Learn T-SQL Querying second edition focuses on indexing queries and crafting elegant T-SQL code enabling data professionals gain mastery in modern SQL Server versions (2022) and Azure SQL Database. The book covers new topics like logical statement processing flow, data access using indexes, and best practices for tuning T-SQL queries.Starting with query processing fundamentals, the book lays a foundation for writing performant T-SQL queries. You'll explore the mechanics of the Query Optimizer and Query Execution Plans, learning to analyze execution plans for insights into current performance and scalability. Using dynamic management views (DMVs) and dynamic management functions (DMFs), you'll build diagnostic queries. The book covers indexing and delves into SQL Server's built-in tools to expedite resolution of T-SQL query performance and scalability issues. Hands-on examples will guide you to avoid UDF pitfalls and understand features like predicate SARGability, Query Store, and Query Tuning Assistant.By the end of this book, you'll have developed the ability to identify query performance bottlenecks, recognize anti-patterns, and avoid pitfallsWhat You Will Learn:- Identify opportunities to write well-formed T-SQL statements- Familiarize yourself with the Cardinality Estimator for query optimization- Create efficient indexes for your existing workloads- Implement best practices for T-SQL querying- Explore Query Execution Dynamic Management Views- Utilize the latest performance optimization features in SQL Server 2017, 2019, and 2022- Safeguard query performance during upgrades to newer versions of SQL ServerWho this book is for:This book is for database administrators, database developers, data analysts, data scientists and T-SQL practitioners who want to master the art of writing efficient T-SQL code and troubleshooting query performance issues through practical examples. A basic understanding of T-SQL syntax, writing queries in SQL Server, and using the SQL Server Management Studio tool will be helpful to get started.Table of Contents- Understanding Query Processing- Mechanics of the Query Optimizer- Exploring Query Execution Plans- Indexing for T-SQL Performance- Writing Elegant T-SQL Queries- Discovering T-SQL Anti-patterns in Depth - Building diagnostic queries using DMVs and DMFs- Building XEvent profiler traces- Comparative analysis of Query Plans- Tracking performance history with Query Store- Troubleshooting Live Queries- Managing optimizer changes with the Query Tuning Assistant

Learn Jakarta EE by building real-world microservices with code examples, practical exercises, and the latest Jakarta EE featuresKey FeaturesCraft microservices using standard Jakarta EE technologies such as Jakarta RESTful Web Services, JSON Processing, and JSON BindingDesign web-based applications with Jakarta FacesHarness Jakarta EE technologies such as Jakarta Enterprise Beans and Jakarta Messaging to build enterprise applicationsPurchase of the print or Kindle book includes a free PDF eBookBook DescriptionJakarta EE stands as a robust standard with multiple implementations, presenting developers with a versatile toolkit for building enterprise applications. However, despite the advantages of enterprise application development, vendor lock-in remains a concern for many developers, limiting flexibility and interoperability across diverse environments.This Jakarta EE application development guide addresses the challenge of vendor lock-in by offering comprehensive coverage of the major Jakarta EE APIs and goes beyond the basics to help you develop applications deployable on any Jakarta EE compliant runtime. This book introduces you to JSON Processing and JSON Binding and shows you how the Model API and the Streaming API are used to process JSON data. You'll then explore additional Jakarta EE APIs, such as WebSocket and Messaging, for loosely coupled, asynchronous communication and discover ways to secure applications with the Jakarta EE Security API. Finally, you'll learn about Jakarta RESTful web service development and techniques to develop cloud-ready microservices in Jakarta EE.By the end of this book, you'll have developed the skills to craft secure, scalable, and cloud-native microservices that solve modern enterprise challenges.What you will learnDesign microservices architectures with a clear separation of concernsUnderstand the contexts and dependency injection (CDI) specification to develop Java EE applicationsUse Jakarta Faces to create interactive web applications using component-based developmentUnderstand the steps involved in handling JSON data with Jakarta JSON Processing and BindingDesign secure RESTful web services using server-sent events (SSE) for real-time data updatesSecure your applications with the Jakarta Security APIBuild message-driven applications with Jakarta MessagingWho this book is forThis book is for Java developers looking to learn Jakarta EE and expand their skill set. You'll also find this book useful if you are familiar with Java EE and want to stay abreast of the latest version of the Jakarta EE specification. Knowledge of core Java concepts such as OOP, data types, control flow, and basic collections will be beneficial.Table of ContentsIntroduction to Jakarta EEContexts and Dependency InjectionJakarta RESTful Web ServicesJSON Processing and JSON BindingMicroservices Development with Jakarta EEJakarta FacesAdditional Jakarta Faces FeaturesObject Relational Mapping with Jakarta PersistenceWebSocketsSecuring Jakarta EE ApplicationsServlet Development and DeploymentJakarta Enterprise BeansJakarta MessagingWeb Services with Jakarta XML Web ServicesPutting it All Together

Gain the expertise needed for the Google Cloud Digital Leader certification with the help of industry insights, effective testing strategies, and exam questions designed to help you make informed tech decisions aligned with business goalsKey FeaturesLearn about data management, AI, monetization, security, and the significance of infrastructure modernizationBuild a solid foundation in Google Cloud, covering all technical essentials necessary for a Google Cloud Digital LeaderTest your knowledge of cloud and digital transformation through realistic exam questionsPurchase of the print or Kindle book includes a free PDF eBookBook DescriptionTo thrive in today's world, leaders and technologists must understand how technology shapes businesses. As organizations shift from self-hosted to cloud-native solutions, embracing serverless systems, strategizing data use, and defining monetization becomes imperative. The Google Cloud Digital Leader Certification Guide lays a solid foundation of industry knowledge, focused on the Google Cloud platform and the innovative ways in which customers leverage its technologies.The book starts by helping you grasp the essence of digital transformation within the Google Cloud context. You'll then cover core components of the platform, such as infrastructure and application modernization, data innovation, and best practices for environment management and security. With a series of practice exam questions included, this book ensures that you build comprehensive knowledge and prepare to certify as a Google Cloud Digital Leader. Going beyond the exam essentials, you'll also explore how companies are modernizing infrastructure, data ecosystems, and teams in order to capitalize on new market opportunities through platform expertise, best practices, and real-world scenarios.By the end of this book, you'll have learned everything you need to pass the Google Cloud Digital Leader certification exam and have a reference guide for future requirements.What you will learnLeverage Google Cloud's AI and ML solutions to create business valueIdentify Google Cloud solutions for data management and smart analyticsAcquire the skills necessary to modernize infrastructure and applications on GCPUnderstand the value of APIs and their applications in cloud environmentsMaster financial governance and implement best practices for cost managementUnderstand the cloud security approach and benefits of Google Cloud securityFind out how IT operations must adapt to thrive in the cloudWho this book is forThis Google Cloud fundamentals book is suitable for individuals with both technical and non-technical backgrounds looking for a starting point to pursue more advanced Google Cloud certifications. No prior experience is required to get started with this book; only a keen interest in learning and exploring cloud concepts, with a focus on Google Cloud.Table of ContentsCloud Computing Fundamentals - An Introduction to Digital TransformationThe Shift to Public CloudUnderstanding the Different Cloud Computing ModelsThe Role of Data in Digital TransformationGoogle Cloud Solutions for Data ManagementMachine Learning and Artificial Intelligence on Google CloudModernizing IT Infrastructure with Google CloudModernizing Applications with Google CloudThe Value of APIsGoogle Cloud's Approach to SecurityIT Operations in the CloudResource Monitoring and Application Performance Management on Google CloudSample Questions: Exam Preparation

Rise above the competition and excel in your next interview with this one-stop guide to Python, SQL, version control, statistics, machine learning, and much moreKey FeaturesAcquire highly sought-after skills of the trade, including Python, SQL, statistics, and machine learningGain the confidence to explain complex statistical, machine learning, and deep learning theoryExtend your expertise beyond model development with version control, shell scripting, and model deployment fundamentalsPurchase of the print or Kindle book includes a free PDF eBookBook DescriptionThe data science job market is saturated with professionals of all backgrounds, including academics, researchers, bootcampers, and Massive Open Online Course (MOOC) graduates. This poses a challenge for companies seeking the best person to fill their roles. At the heart of this selection process is the data science interview, a crucial juncture that determines the best fit for both the candidate and the company.Cracking the Data Science Interview provides expert guidance on approaching the interview process with full preparation and confidence. Starting with an introduction to the modern data science landscape, you'll find tips on job hunting, resume writing, and creating a top-notch portfolio. You'll then advance to topics such as Python, SQL databases, Git, and productivity with shell scripting and Bash. Building on this foundation, you'll delve into the fundamentals of statistics, laying the groundwork for pre-modeling concepts, machine learning, deep learning, and generative AI. The book concludes by offering insights into how best to prepare for the intensive data science interview.By the end of this interview guide, you'll have gained the confidence, business acumen, and technical skills required to distinguish yourself within this competitive landscape and land your next data science job.What you will learnExplore data science trends, job demands, and potential career pathsSecure interviews with industry-standard resume and portfolio tipsPractice data manipulation with Python and SQLLearn about supervised and unsupervised machine learning modelsMaster deep learning components such as backpropagation and activation functionsEnhance your productivity by implementing code versioning through GitStreamline workflows using shell scripting for increased efficiencyWho this book is forWhether you're a seasoned professional who needs to brush up on technical skills or a beginner looking to enter the dynamic data science industry, this book is for you. To get the most out of this book, basic knowledge of Python, SQL, and statistics is necessary. However, anyone familiar with other analytical languages, such as R, will also find value in this resource as it helps you revisit critical data science concepts like SQL, Git, statistics, and deep learning, guiding you to crack through data science interviews.Table of ContentsExploring the Modern Data Science LandscapeFinding a Job in Data ScienceProgramming with PythonVisualizing Data and Data StorytellingQuerying Databases with SQLScripting with Shell and Bash Commands in LinuxUsing Git for Version ControlMining Data with Probability and StatisticsUnderstanding Feature Engineering and Preparing Data for ModelingMastering Machine Learning ConceptsBuilding Networks with Deep LearningImplementing Machine Learning Solutions with MLOpsMastering the Interview RoundsNegotiating Compensation

Explore proven techniques and best practices for designing, deploying, and managing cloud-native applications in multi-cloud environments with the help of real-world examples, success stories, and emerging technologiesKey FeaturesDiscover optimal solutions in multi-cloud environments using AWS, Azure, and GCP tools and technologiesExcel in designing, developing, and securing cloud-native apps with Docker, Kubernetes, and IstioLearn design patterns, cost optimization, best practices, and pitfalls to avoid in multi-cloud appsPurchase of the print or Kindle book includes a free PDF eBookBook DescriptionUnleash the power of cloud computing with Multi-Cloud Handbook for Developers, your guide to mastering the nuances of cloud-native and multi-cloud, covering practical strategies for design, development, and management. Explore the essential concepts, challenges, and methodologies critical for navigating the complex landscape of modern cloud computing. Using core architectural and design principles (such as microservices and 12-factor architecture) and advanced strategies (such as distributed application design patterns, domain-driven design (DDD), and API-first strategies), you'll learn how to build portable and efficient apps across various cloud platforms. You'll understand how to leverage Infrastructure as Code (IaC), continuous integration and deployment (CI/CD), GitOps, and DevOps practices, along with containerization and orchestration techniques using Docker and Kubernetes. You'll also get to grips with data, security, compliance, and cloud cost management strategies in multi-cloud environments.With real-world case studies, best practices, and insights into future trends, this book will equip you with the skills to develop, manage, troubleshoot, and innovate cloud-native applications across diverse cloud platforms, positioning you at the forefront of the cloud computing revolution.What you will learnUnderstand the core structures and implications of cloud-native and multi-cloud appsExplore key principles and patterns to build agile, scalable, and future-proof appsMaster cloud-native essentials: service mesh, DDD, and API-centric approachesImplement deployment pipelines with advanced IaC, CI/CD, DevSecOps, and GitOps techniquesManage and monitor data, security, compliance, and identity access in multi-cloud scenariosOptimize your cloud costs with shift-left and FinOps practicesGet ready for the future of cloud-native and multi-cloud technologyWho this book is forIdeal for cloud-native and cloud developers, platform engineers, software architects, and IT professionals focused on building and managing cloud-native applications in multi-cloud environments, this book is an indispensable guide for students and researchers seeking insights into cloud-native concepts and multi-cloud architectures. A basic understanding of cloud computing, contemporary software development, system design, and cloud platforms such as AWS, Azure, and GCP, will prove useful.Table of ContentsDiscovering the Multi-Cloud and Cloud-Native UniverseBuilding the Backbone of Cloud-Native ApplicationsDesigning for Diversity with Multi-Cloud Application StrategiesCrafting and Deploying in the Multi-Cloud as a DeveloperManaging Security, Data, and Compliance on Multi-CloudMaximizing Value and Minimizing Cost of Multi-CloudTroubleshooting Multi-Cloud ApplicationsLearning from Pioneers and Case StudiesBringing Your Cloud-Native Application to LifeFuture-Proofing Your Cloud Computing Skills

Harness the power of the Delphi IDE and programming language, coupled with the FireMonkey library, to develop modern desktop and mobile apps with high speed and natively compiled efficiency from a single source code baseKey FeaturesUnderstand the fundamentals of Delphi for building multi-device applicationsBuild desktop and mobile apps with the help of extensive examples that guide you through each stepApply advanced features, such as parallel programming and multi-tier full-stack solutions, based on web connectivityPurchase of the print or Kindle book includes a free PDF eBookBook DescriptionMaster Delphi, the most powerful Object Pascal IDE and versatile component library for cross-platform native app development, by harnessing its capabilities for building natively compiled, blazingly fast apps for all major platforms, including Android, iOS, Windows, Mac, and Linux.Expert Delphi begins with a quick overview of Delphi, helping you get acquainted with the IDE and the Object Pascal language. The book then quickly progresses to more advanced concepts, followed by the architecture of applications and the FireMonkey library, guiding you through building server-side services, parallel programming, and database access. Toward the end, you'll learn how to integrate your app with various web services and deploy them effectively.By the end of this book, you'll be adept at building powerful, cross-platform, native apps for iOS, Android, Windows, and macOS-all from a single code base.What you will learnConfigure the Delphi IDE for mobile development, use Object Pascal, and build appsManage core Delphi technologies, including parallel programming, JSON, XML, and FireMonkeyExplore FireMonkey 3D features, UI styles, and mobile OS integration to build powerful appsExtend your apps to desktop using the same source code and set of technologies to expand opportunitiesBuild web services integrate them with your UI for a holistic developer experienceDeploy apps to devices and online stores, streamlining distribution and facilitating monetizationWho this book is forIf you're a Delphi developer exclusively versed in Windows applications and aspire to venture into mobile platforms, this book will pave the way for you to become an expert in this space. It serves as a guide for mobile developers or developers in general, proficient in other programming languages and frameworks, to harness the productivity that Delphi and FireMonkey offer.Table of ContentsFasten Your Seat BeltsMind Your LanguagePacking Up Your ToolboxUsing the Parallel Programming LibraryPlaying with FireMonkeyFireMonkey in 3DBuilding User Interfaces with StyleWorking with Mobile Operating SystemDesktop Apps and Mobile BridgesEmbedding DatabasesIntegrating with Web ServicesBuilding Mobile BackendsEasy REST API Publishing with RAD ServerApp DeploymentThe Road Ahead

Step into the world of design patterns through modern JavaScript paradigms to supercharge your applications on the web and beyondKey FeaturesExplore various JavaScript design patterns, delving deep into their intricacies, benefits, and best practicesUnderstand the decision-making process guiding the selection of specific design patternsBuild a solid foundation to learn advanced topics in JavaScript and web performancePurchase of the print or Kindle book includes a free PDF eBookBook DescriptionUnlock the potential of JavaScript design patterns, the foundation for development teams seeking structured and reusable solutions to common software development challenges in this guide to improving code maintainability, scalability, and performance. Discover how these patterns equip businesses with cleaner and more maintainable code, promote team collaboration, reduce errors, and save time and costs.This book provides a comprehensive view of design patterns in modern (ES6+) JavaScript with real-world examples of their deployment in professional settings. You'll start by learning how to use creational, structural, and behavioral design patterns in idiomatic JavaScript, and then shift focus to the architecture and UI patterns. Here, you'll learn how to apply patterns for libraries such as React and extend them further to general web frontend and micro frontend approaches. The last section of the book introduces and illustrates sets of performance and security patterns, including messaging and events, asset and JavaScript loading strategies, and asynchronous programming performance patterns.Throughout the book, examples featuring React and Next.js, in addition to JavaScript and Web API examples, will help you choose and implement proven design patterns across diverse web ecosystems, transforming the way you approach development.What you will learnFind out how patterns are classified into creational, structural, and behavioralImplement the right set of patterns for different business scenariosExplore diverse frontend architectures and different rendering approachesIdentify and address common asynchronous programming performance pitfallsLeverage event-driven programming in the browser to deliver fast and secure applicationsBoost application performance using asset loading strategies and offloading JavaScript executionWho this book is forThis book is for developers and software architects who want to leverage JavaScript and the web platform for enhanced productivity, superior software quality, and optimized application performance.Prior experience with JavaScript and web development is assumed. Some of the more advanced topics in the book will be of interest to developers with intermediate experience in building for the web with JavaScript.Table of ContentsWorking with Creational Design PatternsImplementing Structural Design PatternsLeveraging Behavioral Design PatternsExploring Reactive View Library PatternsRendering Strategies and Page HydrationMicro Frontends, Zones, and Islands ArchitecturesAsynchronous Programming Performance PatternsEvent-Driven Programming PatternsMaximizing Performance - Lazy Loading and Code SplittingAsset Loading Strategies and Executing Code off the Main Thread

Create, edit, and produce professional-grade videos with practical tips, step-by-step guides, and illustrationsKey FeaturesEnhance project structure, manage media, and use the inspector effectively for consistent pacingTake your video projects to the next level by mastering features such as keyframe animation and advanced color correctionFoster collaboration and troubleshoot common issues for a smooth editing processPurchase of the print or Kindle book includes a free PDF eBookBook DescriptionEdit Without Tears with Final Cut Pro is your essential guide to overcoming challenges in video editing using Final Cut Pro, simplifying complex procedures and workflows and providing a structured approach for efficient and impressive video editing. This book will change how you approach editing, guiding you to create professional-grade videos with ease and confidence.Throughout the book, you'll enhance your efficiency and speed, while also learning unique workflows for common tasks. The comprehensive coverage spans planning video narratives, crafting preliminary edits and refining them, improving audio quality, setting up and editing multicam sequences, leveraging the inspector's controls, and working with both built-in and third-party plugins. You'll then advance to animating objects using keyframes, utilizing color scopes for advanced color correction, and troubleshooting common issues confidently.By the end of this Final Cut Pro book, you'll have developed an efficient editing style, unlocking the full power of this video editing software for your creative endeavors.What you will learnOrganize Final Cut Pro files efficiently in designated locationsSet yourself up for success by planning your editsFine-tune the editing pace to achieve the desired flow and timingUtilize the inspector for color and audio adjustmentsInitiate various projects, including the Countdown projectEnhance effects and animations through pluginsCollaborate effectively with multiple users and leverage multicamEnsure all necessary requirements are met after completing the editWho this book is forIf you're an intermediate-level Final Cut Pro editor, creative professional, freelancer, YouTuber, part of a production team, or anyone creating high-quality content on macOS using Final Cut Pro, this book is for you. A basic understanding of video editing principles and familiarity with media formats and macOS file storage is needed to get started with this book.Table of ContentsIt's All About the MediaOrganizing MediaPlanning the Video StoryPre-Editing a Rough CutRefining the Rough CutFixing and Enhancing the AudioTitles, Effects and, GeneratorsSetting Up and Editing MulticamProject Workflows - Pace and StructureThe Inspector ControlsUsing Built-In Plug-InsUsing Third-Party PluginsUsing Keyframes to Animate Objects in Final Cut ProUnderstanding the Principles of ColorUsing Color Scopes for Advanced Color CorrectionYour Job Role - CollaborationSupporting Software Applications for Final Cut ProTroubleshooting Final Cut ProBacking Up and Archiving Libraries

Jumpstart your sculpting career by learning the industry's most effective modeling and sculpting tools used by professionals to create AAA-quality characters, props, and lifelike portraitsKey FeaturesMaster the basics of ZBrush through practical projects in this illustrated guideExplore organic modeling, concept sculpting, and character creation workflowsDiscover tools and techniques employed by professionals from the games, VFX and collectibles industriesPurchase of the print or Kindle book includes a free PDF eBookBook DescriptionEmbark on a creative journey with ZBrush, the leading software for creating characters, creatures, and props in films, games, and 3D printing. This guide will take you through its powerful yet user-friendly workflows, allowing you to explore its dynamic organic sculpting, painting, and hard-surface modeling tools.The first part of this book is dedicated to helping you become familiar with ZBrush's user interface and learning the very basics, from sculpting brushes and painting the model with Polypaint to setting up lights and rendering images. You'll also create a demon bust with the help of ZBrush's concept sculpting tool, DynaMesh. In the second part, you'll get to grips with the creation of a humanoid character that is optimized for 3D printing. Focusing on anatomy, poly-modeling, and preparing the model for 3D printing, you'll acquire the skills essential for sculptors. The final part delves into portrait sculpting, where you'll learn everything from basic facial anatomy to hair creation with FiberMesh.By the end of this book, you'll have developed the expertise necessary to succeed in the ever-evolving world of 3D character modeling, complemented by portfolio and social media tips for showcasing your standout work.What you will learnEnhance your sculpting skills to craft a variety of organic and hard surface objectsCreate humanoid characters, focusing on basic anatomy and proportionsExplore sculpting techniques for intricate details in human heads and hairSculpt objects such as armor, clothing, and accessoriesCreate custom brushes to enhance your sculpting workflowDevelop skills in detailing and surfacing to add texture and depth to your sculptsUse Polypaint and Materials to add color and enhance your sculpturesRender and export your sculpts to share them with othersWho this book is forThis book is for 3D artists, digital sculptors, modelers, and anyone looking to learn the ZBrush software. It's a valuable resource for professionals switching to ZBrush or looking to broaden their skill set.While prior ZBrush experience and artistic abilities will prove beneficial, they're not prerequisites to understand the content covered. The book covers common and essential ZBrush workflows, making it ideal for both beginner and intermediate artists looking to explore the extensive capabilities of ZBrush.Table of ContentsGetting Started with ZBrushSculpting a Demon Bust with DynaMeshExploring the Gizmo, PolyGroups, and MaskingExploring Brushes and AlphasCreating an Optimized Mesh Using ZRemesher and ZProjectTexturing your Sculpture with Materials, Polypaint, and UVsLighting and Rendering Your ModelSculpting Human AnatomyCreating Costumes, Armor, and Accessories with Classic Modeling TechniquesPreparing and Exporting our Model for 3D PrintingSculpting a Female HeadAdding Skin Detail, Sculpting Hair, and Using FiberMeshBuilding a Portfolio and Leveraging Social Media

Leverage PowerShell 7 to write code on Windows, Linux, and Raspberry Pi to accomplish real-world tasks with this practical guideKey FeaturesMaster the art of coding with Microsoft's free, open-source cross-platform languageUnderstand essential programming concepts such as loops and objects through practical examplesPractice using PowerShell 7 with websites, APIs, and physical computing devices like Raspberry PiPurchase of the print or Kindle book includes a free PDF eBookBook DescriptionDiscover the capabilities of PowerShell 7 for your everyday tasks with this carefully paced tutorial that will help you master this versatile programming language.The first set of chapters will show you where to find and how to install the latest version of PowerShell, providing insights into the distinctive features that set PowerShell apart from other languages. You'll then learn essential programming concepts such as variables and control flow, progressing to their applications. As you advance, you'll work with files and APIs, writing scripts, functions, and modules. You'll also gain proficiency in securing your PowerShell environment before venturing into different operating systems.Enriched with detailed practical examples tailored for Windows, Linux, macOS, and Raspberry Pi, each chapter weaves real-world scenarios to ignite your imagination and cement the principles you learn. You'll be able to reinforce your understanding through self-assessment questions and delve deeper into the principles using comprehensive reading lists.By the end of this book, you'll have the confidence to use PowerShell for physical computing and writing scripts for Windows administration.What you will learnGrasp the distinctive object-oriented nature of PowerShell 7Explore the practical applications of standard programming concepts, such as control flowFind out how to interact with websites and APIsImplement best practices to secure your PowerShell environment and write secure codeGet to grips with writing scripts, functions, and modulesDevelop the skills to troubleshoot your codeDeploy PowerShell on various operating systemsWho this book is forThis book is for system administrators, PowerShell developers, and cloud and DevOps engineers seeking comprehensive insights into PowerShell 7 and its applications in daily tasks. Anyone getting started with PowerShell will also find this book useful. Familiarity with at least one programming language will help you follow along more easily.Table of ContentsIntroduction to PowerShell 7 - What It Is and How to Get ItExploring PowerShell Cmdlets and SyntaxThe PowerShell Pipeline - How to String Cmdlets TogetherPowerShell Variables and Data StructuresPowerShell Control Flow - Conditionals and LoopsPowerShell and Files - Reading, Writing, and Manipulating DataPowerShell and the Web - HTTP, REST, and JSONWriting Our First Script - Turning Simple Cmdlets into Reusable CodeDon't Repeat Yourself - Functions and ScriptblocksError Handling - Oh No! It's Gone Wrong!Creating Our First ModuleSecuring PowerShellWorking With PowerShell 7 and WindowsPowerShell 7 for Linux and macOSPowerShell 7 and the Raspberry PiWorking with PowerShell and .NET

Tackle advanced platform security challenges with this practical Moodle guide complete with expert tips and techniquesKey Features:Demonstrate the security of your Moodle architecture for compliance purposesAssess and strengthen the security of your Moodle platform proactivelyExplore Moodle's baked-in security framework and discover ways to enhance it with pluginsPurchase of the print or Kindle book includes a free PDF eBookBook Description:Online learning platforms have revolutionized the teaching landscape, but with this comes the imperative of securing your students' private data in the digital realm. Have you taken every measure to ensure their data's security? Are you aligned with your organization's cybersecurity standards? What about your insurer and your country's data protection regulations?This book offers practical insights through real-world examples to ensure compliance. Equipping you with tools, techniques, and approaches, Moodle 4 Security guides you in mitigating potential threats to your Moodle platform. Dedicated chapters on understanding vulnerabilities familiarize you with the threat landscape so that you can manage your server effectively, keeping bad actors at bay and configuring Moodle for optimal user and data protection.By the end of the book, you'll have gained a comprehensive understanding of Moodle's security issues and how to address them. You'll also be able to demonstrate the safety of your Moodle platform, assuring stakeholders that their data is measurably safer.What You Will Learn:Measure a tutoring company's security risk profile and build a threat modelExplore data regulation frameworks and apply them to your organization's needsImplement the CIS Critical Security Controls effectivelyCreate JMeter test scripts to simulate server load scenariosAnalyze and enhance web server logs to identify rogue agentsInvestigate real-time application DOS protection using ModEvasiveIncorporate ModSecurity and the OWASP Core Rule Set WAF rules into your server defensesBuild custom infrastructure monitoring dashboards with GrafanaWho this book is for:If you're already familiar with Moodle, have experience in Linux systems administration, and want to expand your knowledge of protecting Moodle against data loss and malicious attacks, this book is for you. A basic understanding of user management, software installation and maintenance, Linux security controls, and network configuration will help you get the most out of this book.

Catapult your C# journey with this guide to crafting standout resumes, mastering advanced concepts, and navigating job offers with real-world insights for unparalleled success in programming and interviewsKey FeaturesAcquire a strong foundation in syntax, data types, and object-oriented programming to code confidentlyDevelop strategies for addressing behavioral questions, tackle technical challenges, and showcase your coding skillsAugment your C# programming skills with valuable insights from industry expertsPurchase of the print or Kindle book includes a free PDF eBookBook DescriptionIf you're gearing up for technical interviews by enhancing your programming skills and aiming for a successful career in C# programming and software development, the C# Interview Guide is your key to interview success.Designed to equip you with essential skills for excelling in technical interviews, this guide spans a broad spectrum, covering fundamental C# programming concepts to intricate technical details. As you progress, you'll develop proficiency in crafting compelling resumes, adeptly answering behavioral questions, and navigating the complexities of salary negotiations and job evaluations. What sets this book apart is its coverage, extending beyond technical know-how and incorporating real-world experiences and expert insights from industry professionals. This comprehensive approach, coupled with guidance on overcoming challenges, ranging from interview preparation to post-interview strategies, makes this guide an invaluable resource for those aspiring to advance in their C# programming careers.By the end of this guide, you'll emerge with a solid understanding of C# programming, advanced technical interview skills, and the ability to apply industry best practices.What you will learnCraft compelling resumes and cover letters for impactful job applicationsDemonstrate proficiency in fundamental C# programming concepts and syntaxMaster advanced C# topics, including LINQ, asynchronous programming, and design patternsImplement best practices for writing clean, maintainable C# codeUse popular C# development tools and frameworks, such as .NET and .NET CoreNegotiate salary, evaluate job offers, and build a strong C# portfolioApply soft skills for successful interactions in C# development rolesWho this book is forThis book is for individuals aspiring to pursue a career in C# programming or software development. Whether you are a beginner or experienced professional, this guide will enhance your technical interview skills and C# programming knowledge.Table of ContentsCrafting a Compelling Résumé and Cover Letter, Online Presence, and Interview PreparationAcing the Interview - Mastering Behavioral Questions and Interview TechniquesFundamentals of C# ProgrammingAdvanced C# ConceptsFundamentals Governing Maintainable and Efficient C# ProgrammingDeep Dive into C# Libraries and FrameworksOvercoming Challenges in C# Technical Interviews and Tips for Tackling Coding Challenges during InterviewsBuilding Soft Skills and Expanding Your NetworkNegotiating Your Salary and Evaluating Job OffersGaining Expert Insights, Following Up Effectively, and Taking ActionLaunching Your C# Career - Insights

Uncover valuable business insights by leveraging the power of Kibana to navigate and interpret datasets for improved decision makingKey FeaturesGain profound understanding of the end-to-end workings of KibanaExplore the powerful administration features in Kibana 8.x for managing and supporting data ingestion pipelinesBuild your own analytics and visualization solution from scratchPurchase of the print or Kindle book includes a free PDF eBookBook DescriptionUnleash the full potential of Kibana-an indispensable tool for data analysts to seamlessly explore vast datasets, uncover key insights, identify trends and anomalies, and share results. This book guides you through its user-friendly interface, interactive visualizations, and robust features, including real-time data monitoring and advanced analytics, showing you how Kibana revolutionizes your approach to navigating and analyzing complex datasets.Starting with the foundational steps of installing, configuring, and running Kibana, this book progresses systematically to explain the search and data visualization capabilities for data stored in the Elasticsearch cluster. You'll then delve into the practical details of creating data views and optimizing spaces to better organize the analysis environment. As you advance, you'll get to grips with using the discover interface and learn how to build different types of extensive visualizations using Lens.By the end of this book, you'll have a complete understanding of how Kibana works, helping you leverage its capabilities to build an analytics and visualization solution from scratch for your data-driven use case.What you will learnCreate visualizations using the Visualize interface in KibanaBuild shareable search dashboards to drill down and perform advanced analysis and reportingSearch data to make correlations and identify and explain trendsEmbed dashboards, share links, and export PNG, PDF, or CSV files and send as an attachmentConfigure and tweak advanced settings to best manage saved objects in KibanaImplement several types of aggregations working behind the scenes of extensive visualizationsWho this book is forIf you're a data analyst or a data engineer, this book is for you. It's also a useful resource to database administrators, analysts, and business users looking to build a foundation in creating intuitive dashboards using Kibana 8.x and data analysis techniques for improved decision making. Foundational knowledge of Elasticsearch fundamentals will provide an added advantage.Table of ContentsIntroduction to KibanaCreating Data Views and Introducing SpacesDiscovering Data through DiscoverHow About We Visualize?Powering Visualizations with Near Real-Time UpdatesData Analysis with Machine LearningGraph VisualizationFinally, the DashboardES|QL and Advanced Kibana ConceptsQuery DSL and Management through Kibana

Unleash the full potential of Microsoft Excel's latest version and elevate your data-driven prowess with this comprehensive resourceKey Features- Create robust and automated dashboards in Excel for M365- Apply data visualization principles and employ dynamic charts and tables to create constantly updated and informative dashboards for your organization- Uncover the best practices for effective dashboard creation- Purchase of the print or Kindle book includes a free PDF eBookBook DescriptionM365 Excel is a modern Excel version that is constantly updated with features that make creating and automating analyses, reports, and dashboards very easy compared with older Excel versions. This book will help you leverage its full capabilities, beginning with a quick overview of what dashboards are and how they are different from other types of reports. Then, you'll familiarize yourself with the different standard dashboards currently available and what they are meant to accomplish for organizations. As you progress, you'll get to grips with the use of new powerful tools such as Power Query and dynamic array formulae in the automation of analysis, gaining insights into the right approach to take in building effective dashboards. You'll equip yourself with not only all the essential formulae, charts, and non-chart visuals but also learn how to set up your dashboard perfectly. Along the way, you'll build a couple of awesome dashboards from scratch to utilize your newfound knowledge.By the end of this book, you will be able to carry out an impressive and robust level of analysis on business data that may come from multiple sources or files, using better processes, formulae, and best practices in M365 to create insightful dashboards faster.What you will learn- Understand the importance of dashboards in today's business analytics environment- Delve into the various essential formulae in Excel- Utilize Power Query to shape and transform data to extract insights easily- Explore the power of the new dynamic array functions in M365- Employ PivotTable and Power Pivot to automate your dashboards- Master the setup and optimization of your dashboard canvas- Discover best practices for visualization, charts, and effective dashboard creation- Consolidate your knowledge through a hands-on concluding projectWho this book is forThis book is for Microsoft Excel users, especially those tasked with creating dynamic reports and dashboards that require data and help support to decision-makers within an organization with visually engaging and actionable insights. Financial analysts, data analysts, business analysts, and BI professionals will also greatly benefit from this book. Some familiarity with the Microsoft Excel interface is a prerequisite.Table of Contents- Dashboards, Reports, and M365 Excel- Common Dashboards in Large Companies- The Importance of Connecting Directly to the Primary Data Sources- Power Query: the Ultimate Data Transformation Tool- PivotTable and Power Pivot- Must-Know Legacy Excel Functions- Dynamic Array Functions and Lambda Functions- Getting Comfortable with the 19 Excel Charts- Non-Chart Visuals- Setting Up the Dashboard's Data Model- Perfecting the Dashboard- Best Practices for Real-World Dashboard Building

Master ArchViz to create stunning, interactive real-time visualizations in this part-color guide with seasoned 3D generalist and real-time visualization artist, Ludovico PalmeriKey Features:- Leverage the only comprehensive guide on archviz with UE5, a true game-changer for architects and designers- Learn best practices for creating realistic and immersive 3D environments using UE5- Explore Unreal's advanced lighting and material tools to produce photorealistic architectural visualizations- Purchase of the print or Kindle book includes a free PDF eBookBook Description:If you excel at creating beautiful architectural renderings using traditional software but want to master real-time, interactive visualizations, this book will show you how the versatile Unreal Engine 5 enables such transformations effortlessly. While UE5 is widely popular, existing online training resources can be overwhelming and often lack a focus on Architectural visualization. This comprehensive guide is for both beginners and experienced users offering a clear, end-to-end approach to creating stunning visualizations from scratch as well as managing tight deadlines, striving for photorealism, and handling typical client revisions inherent to architectural visualization.The book starts with an introduction to UE5 and its capabilities, as well as the basic concepts and principles of architectural visualization. You'll then progress to essential topics such as setting up a project, modeling and texturing 3D assets, lighting and materials, and post-processing effects. Along the way, you'll find practical tips, best practices, and hands-on exercises to develop your skills by applying what you learn.By the end of this book, you'll have acquired the skills to confidently create high-quality architectural visualizations in UE5 and become proficient in building an architectural interior scene to produce professional still images.What You Will Learn:- Import and organize assets and prepare a project structure- Ensure a smooth architectural visualization workflow to quickly iterate your project- Experiment with different types of lighting techniques to create photorealistic scenarios- Create and tweak materials using the material editor, and apply them to models in the scene- Use post-processing features to achieve cinematic-quality visuals- Discover how to use blueprints to create interactive elements- Build captivating animations with the sequencer tool- Optimize your scene for smooth real-time performanceWho this book is for:Whether you're a CG-ArchViz artist, architect, or an environment artist looking to take your real-time visualization skills to the next level with Unreal Engine 5, this book is for you. Ideal for solidifying your understanding of architectural visualization, this book is perfect for you if you have some experience modeling simple architectural scenes in your software of choice. Familiarity with the Unreal Engine's interface and basic operations is assumed.Table of Contents- Setting Up the Project- Preparing the Scene- Importing the Scene- Managing Your Assets- Lighting in Unreal - the Essentials- Lighting the Scene- Exploring Materials- Creating Architectural Materials- Detailing the Scene with Decals- Making Interactive Elements Using Blueprints- Communicating between Blueprints- Optimizing the Scene- Setting Up Cameras- Post-Processing Images- Discovering the Sequencer- Rendering the Scene

Build scalable, cost-effective, high-performance, and secure architectures using AWS Outposts, AWS Local Zones, AWS Wavelength, and AWS Snow services guided by best practices and practical examplesKey FeaturesTake advantage of the opportunities and challenges arising from the exponential growth of connected devicesUse AWS edge compute services to extend your applications to wherever they are neededFollow guided tutorials for building an IIoT gateway and a distributed edge application with AWS servicesPurchase of the print or Kindle book includes a free PDF eBookBook DescriptionThe surge in connected edge devices has driven organizations to capitalize on the opportunities presented by the massive amounts of data generated by these devices. However, adapting to this landscape demands significant changes in application architectures.This book serves as your guide to edge computing fundamentals, shedding light on the constraints and risks inherent in selecting solutions within this domain. You'll explore an extensive suite of edge computing services from AWS, gaining insights into when and how to use AWS Outposts, AWS Wavelength, AWS Local Zones, AWS Snow Family, and AWS IoT Greengrass. With detailed use cases, technical requirements, and architectural patterns, you'll master the practical implementation of these services and see how they work in real life through step-by-step examples, using the AWS CLI and AWS Management Console. To conclude, you'll delve into essential security and operational considerations to maximize the value delivered by AWS services.By the end of this book, you'll be ready to design powerful edge computing architectures and handle complex edge computing use cases across multiple AWS services.What you will learnOvercome network challenges faced at the near and far edgeLeverage services in over 450 points of presence at the edge of the AWS global backboneDeploy edge solutions in disconnected scenarios using AWS Snow FamilyBuild multi-access edge (MEC) solutions with 5G and AWS WavelengthReduce latency for your users with AWS Local ZonesConfigure AWS Snowcone as an IIoT gateway with AWS IoT GreengrassExtend your AWS VPC into your on-premise data center with AWS OutpostsDeploy distributed applications for core, near, and far edge cloud servicesWho this book is forThis book is designed for cloud architects, cloud engineers, solutions architects, and IoT architects tasked with building edge compute solutions using AWS. If you want to master the full range of edge computing services offered by AWS, this book is for you. A basic understanding of AWS services and networking is assumed.Table of ContentsGetting Started with Edge Computing on AWSUnderstanding Network and Security for Near Edge ComputingUnderstanding Network and Security for Far Edge ComputingAddressing Disconnected Scenarios with AWS Snow FamilyIncorporating AWS Outposts into Your On Premises DatacenterLowering First-Hop Latency with AWS Local ZonesUsing AWS Wavelength Zones on Public 5G NetworksUtilizing the Capabilities of the AWS Global NetworkArchitecting for Disconnected Edge Computing ScenariosBuilding Multi-Access Edge Architectures (MEC)Addressing the Requirements of Immersive Experiences with AWSConfiguring an AWS Snowcone to be an IoT GatewayDeploying a Distributed OpenRAN NFV to the AWS CloudExploring the Future of AWS Edge Computing Services

Unlock the power of Visual Studio 2022 with this step-by-step illustrated guide and leverage its powerful featuresKey FeaturesRide the wave of artificial intelligence using the new GPT-based extensionsExplore tips, tricks, and best practices to discover ways to overcome source-code challengesGet to grips with Visual Studio's basic and advanced features to harness its full potential and enhance your coding journeyPurchase of the print or Kindle book includes a free PDF eBookBook DescriptionVisual Studio 2022 is widely recognized as the best IDE for application development across various domains. This book is a comprehensive guide for both beginners and experienced .NET developers who wish to familiarize themselves with its basic, advanced, and new features. This book is divided into three sections: the first is an overview of Visual Studio, the second part explores tools for productivity within the IDE, and the third delves into integration with GitHub and Visual Studio extensions.In this second edition, we've also expanded the chapters on the use of Visual Studio to environments beyond web development, such as Azure, Desktop, .NET MAUI, and others. Updates to the IDE introduced since the release year of the first edition of the book in 2022 have also been included, such as the use of GPT-based extensions like GitHub Copilot and GitHub Copilot Chat, as well as profiling tools.The book reviews breakpoint groups, a new way to configure breakpoints, as well as tools for web development, such as Browser Link, Dev Tunnels, and Web API Endpoints Explorer. For more advanced developers, the book addresses the topic of developing extensions through the use of the new Visual Studio SDK. By the end of this book, you'll have a better understanding of Visual Studio 2022 and how to use it to its fullest potential.What you will learnDiscover what's new in Visual Studio 2022Get to grips with the new features in code tools to improve productivityExplore latest compilation and debugging tipsUnveil shortcuts, tricks, tips, and tools to improve productivity within Visual Studio 2022Leverage remote and collaborative work with Visual Studio 2022Find out how to create new projects and templates in Visual Studio 2022Enhance your skills by learning general tools, shortcuts, and tips for .NET developersImplement version control with Git Integration into your workflowWho this book is forThis book is for .NET developers who want to learn how to use the latest features, tools, and extensions available in Visual Studio 2022. To get the most out of the book, general knowledge of C# is recommended. Knowledge of web development, Azure, .NET MAUI, and Desktop with .NET will help you follow along, but it's not a prerequisite.Table of ContentsGetting Started with Visual Studio 2022Creating Projects and TemplatesDebugging and Profiling Your AppsAdding Code SnippetsCoding Efficiently with AI and Code ViewsUsing Tools for Frontend and Backend DevelopmentStyling and Cleanup ToolsPublishing ProjectsImplementing Git IntegrationSharing Code with Live ShareWorking with Extensions in Visual StudioUsing Popular ExtensionsLearning Keyboard Shortcuts

Explore cloud economics and cost optimization for Azure, AWS, and GCP with this practical guide covering methods, strategies, best practices, and real-world examples, bridging theory and applicationKey FeaturesLearn cost optimization best practices on different cloud services using FinOps principles and examplesGain hands-on expertise in improving cost estimations and devising cost reduction plans for Azure, AWS, and GCPAnalyze case studies that illustrate the application of FinOps in diverse real-world scenariosPurchase of the print or Kindle book includes a free PDF eBookBook DescriptionIn response to the escalating challenges of cloud adoption, where balancing costs and maximizing cloud values is paramount, FinOps practices have emerged as the cornerstone of fi nancial optimization. This book serves as your comprehensive guide to understanding how FinOps is implemented in organizations worldwide through team collaboration and proper cloud governance.Presenting FinOps from a practical point of view, covering the three phases-inform, optimize, and operate-this book demonstrates an end-to-end methodology for optimizing costs and performing financial management in the cloud. You'll learn how to design KPIs and dashboards for judicious cost allocation, covering key features of cloud services such as reserved instances, rightsizing, scaling, and automation for cost optimization. This book further simplifi es architectural concepts and best practices, enabling you to design superior and more optimized solutions. Finally, you'll discover potential synergies and future challenges, from the integration of artifi cial intelligence to cloud sustainability considerations, to prepare for the future of cloud FinOps.By the end of this book, you'll have built the expertise to seamlessly implement FinOps practices across major public clouds, armed with insights and ideas to propel your organization toward business growth.What you will learnExamine challenges in cloud adoption and cost optimizationGain insight into the integration of FinOps within organizationsExplore the synergies between FinOps and DevOps, IaC, and change managementLeverage tools such as Azure Advisor, AWS CUDOS, and GCP cost reportsEstimate and optimize costs using cloud services key features and best practicesImplement cost dashboards and reports to improve visibility and controlUnderstand FinOps roles and processes crucial for organizational successApply FinOps through real-life examples and multicloud architecturesWho this book is forThis book is for cloud engineers, cloud and solutions architects, as well as DevOps and SysOps engineers interested in learning more about FinOps and cloud financial management for efficiently architecting, designing, and operating software solutions and infrastructure using the public clouds. Additionally, team leads, project managers, and financial teams aiming to optimize cloud resources will also find this book useful. Prior knowledge of cloud computing and major public clouds is assumed.Table of ContentsIntroduction to FinOps PrinciplesUnderstanding How FinOps Fits in Cloud GovernanceDesigning and Executing the Tagging and Naming Convention StrategiesEstimating Cloud Solutions Costs and Initiative SavingsImproving Cost visibility with Dashboards and ReportsImplementing IaaS Compute OptimizationImplementing PaaS and Other Compute Optimization InitiativesImplementing Databases OptimizationImplementing Storage Optimization(N.B. Please use the Look Inside option to see further chapters)

Explore use cases and best practices to seamlessly migrate and scale legacy enterprise-grade applications running on on-premises vSphere environments to VMware Cloud SDDCs running on AWS infrastructureKey FeaturesUnderstand data center extension, migration, disaster recovery, and app modernization through a variety of use casesBecome an expert at configuring, automating, and troubleshooting VMC on AWS SDDCImplement design considerations, best practices, and onboarding preflight checklist for optimal performance on VMC on AWSPurchase of the print or Kindle book includes a free PDF eBookBook DescriptionIf you're looking to effortlessly transition from on-premises VMware vSphere environments or capital expenditure (CAPEX) to an agile operational expenditure (OPEX) model, trust the VMware Cloud (VMC) on AWS platform for swift re-platforming of legacy applications into cloud-native framework. This comprehensive guide addresses hybrid cloud challenges, offering detailed solutions within the VMware Cloud on AWS ecosystem.Covering the foundational architecture, software-defined data center (SDDC) components of VMware Cloud on AWS, network and security configurations, and AWS service integrations, this book lays the foundation for you to advance to vCenter management, vSAN storage policies, NSX architecture, compute policies, SDDC console management, and the EDRS mechanism for cluster scaling. You'll also explore integrated services such as VMware HCX for migration, VMware Aria suite, Tanzu Managed Kubernetes, and disaster recovery.Further, the book takes you through VMware Cloud APIs and guides you in managing workloads with VMware Cloud on AWS Outposts. With the help of practical insights, configuration tips, and best practices, you'll unlock the full potential of VMC on AWS.By the end of this book, you'll be equipped to successfully architect and manage VMware Cloud on AWS SDDCs, handling day-to-day operations expertly.What you will learnExamine the foundational architecture components of VMware Cloud on AWS, including vSphere, vSAN, and NSXExplore the various integrated services available within VMware Cloud on AWSDelve into VMware Cloud on AWS SDDC, vCenter, and vSAN optimizationsBuild applications and apply best practices within the VMware Cloud on AWS to manage day-to-day operationsStreamline infrastructure management for VMware Cloud on AWS with Infrastructure as Code (IaC)Extend cloud capabilities to on-premises environments using VMware Cloud on AWS OutpostsWho this book is forThe book is intended for cloud and solutions architects, DevOps engineers, site reliability engineers (SREs), system and network admins, and cloud engineers with experience in on-premises VMware or AWS administration, facilitating the seamless integration of VMware cloud technologies. Prior understanding of cloud computing, virtualization principles, VMware vSphere administration, vSAN, and NSX along with AWS cloud basics will be helpful.Table of ContentsUnderstanding the architecture of VMC on AWS componentsExploring networking, security, and AWS integrations Discovering migration services for VMC on AWS Configuring your first SDDC from scratchConfiguring vCenter, vSAN, and VMC console Understanding Networking and security configurationsExploring add-on services configurationBuilding applications and managing operationsUsing infrastructure as code on VMC on AWSManaging workload sizing and Cloud costsKnowing the best practices, FAQs, and Common pitfallsAppendix- Preflight checklist before onboarding

Unlock the full potential of PrimeNG and jumpstart your Angular development with essential tools and techniques for web application development Key FeaturesGain a comprehensive understanding of PrimeNG for Angular developmentLeverage PrimeNG's UI components, theming, and performance optimization to create scalable and competitive web appsApply concepts to real-world scenarios through practical examples guiding you to develop professional-grade projectsPurchase of the print or Kindle book includes a free PDF eBookBook DescriptionElevate your UI development skills with Next-Level UI Development with PrimeNG. In a digital landscape where the user interface plays a pivotal role, PrimeNG expertise is essential for Angular developers. This all-encompassing book shows you how to unleash this powerful UI component library in your Angular projects. From the initial setup to integration, you'll explore the synergy between Angular and PrimeNG and how it can help you enhance your projects. You'll work with a wide range of UI components and features, such as input controls, data display, manipulation, and navigation, which allow you to build intuitive and dynamic user interfaces. You'll also discover advanced techniques and best practices for theming, performance optimization, creating reusable components, and handling internationalization and localization. With insights into testing and debugging PrimeNG components, this book ensures the development of robust and error-free applications, and finally guides you toward putting your knowledge into practice by building a real-world responsive web application. By the end of this book, you will be able to harness the full potential of PrimeNG, enabling you to create extraordinary web experiences that stand out from the rest.What you will learnSeamlessly integrate PrimeNG with Angular for robust web app developmentUse a diverse set of UI components for input, data display, manipulation, navigation, and layoutCustomize and theme PrimeNG components to align with your application's branding and design specificationsOptimize performance for efficient and smooth-running applicationsCreate reusable and extendable components to streamline developmentHandle internationalization and localization for global user basesTest and debug PrimeNG components effectivelyWho this book is forIf you're an Angular developer or enthusiast eager to elevate your skills in crafting robust, visually appealing, and scalable web applications, then this book is for you. Whether you identify as a frontend developer, a full-stack developer, or someone who values performance, you'll discover invaluable insights into customizing themes and seamlessly implementing responsive designs.Table of ContentsIntroducing Angular and PrimeNG: A Powerful CombinationSetting Up Your Development EnvironmentUtilizing Angular's Features and ImprovementsIntegrating PrimeNG into Your Angular ProjectIntroducing Input Components and Form ControlsWorking with Table, List, and Card ComponentsWorking with Tree, TreeTable, and Timeline ComponentsWorking with Navigation and Layout ComponentsCustomizing PrimeNG Components with ThemingExploring Optimization Techniques for Angular ApplicationsCreating Reusable and Extendable ComponentsWorking with Internationalization and LocalizationTesting PrimeNG ComponentsBuilding a Responsive Web Application

Enhance your skills as a cloud investigator to adeptly respond to cloud incidents by combining traditional forensic techniques with innovative approachesKey FeaturesUncover the steps involved in cloud forensic investigations for M365 and Google WorkspaceExplore tools and logs available within AWS, Azure, and Google for cloud investigationsLearn how to investigate containerized services such as Kubernetes and DockerPurchase of the print or Kindle book includes a free PDF eBookBook DescriptionAs organizations embrace cloud-centric environments, it becomes imperative for security professionals to master the skills of effective cloud investigation. Cloud Forensics Demystified addresses this pressing need, explaining how to use cloud-native tools and logs together with traditional digital forensic techniques for a thorough cloud investigation. The book begins by giving you an overview of cloud services, followed by a detailed exploration of the tools and techniques used to investigate popular cloud platforms such as Amazon Web Services (AWS), Azure, and Google Cloud Platform (GCP). Progressing through the chapters, you'll learn how to investigate Microsoft 365, Google Workspace, and containerized environments such as Kubernetes. Throughout, the chapters emphasize the significance of the cloud, explaining which tools and logs need to be enabled for investigative purposes and demonstrating how to integrate them with traditional digital forensic tools and techniques to respond to cloud security incidents. By the end of this book, you'll be well-equipped to handle security breaches in cloud-based environments and have a comprehensive understanding of the essential cloud-based logs vital to your investigations. This knowledge will enable you to swiftly acquire and scrutinize artifacts of interest in cloud security incidents. What you will learnExplore the essential tools and logs for your cloud investigationMaster the overall incident response process and approachFamiliarize yourself with the MITRE ATT&CK framework for the cloudGet to grips with live forensic analysis and threat hunting in the cloudLearn about cloud evidence acquisition for offline analysisAnalyze compromised Kubernetes containersEmploy automated tools to collect logs from M365Who this book is forThis book is for cybersecurity professionals, incident responders, and IT professionals adapting to the paradigm shift toward cloud-centric environments. Anyone seeking a comprehensive guide to investigating security incidents in popular cloud platforms such as AWS, Azure, and GCP, as well as Microsoft 365, Google Workspace, and containerized environments like Kubernetes will find this book useful. Whether you're a seasoned professional or a newcomer to cloud security, this book offers insights and practical knowledge to enable you to handle and secure cloud-based infrastructure.Table of ContentsIntroduction to the CloudTrends in Cyber and Privacy Laws and Their Impact on DFIRExploring the Major Cloud ProvidersDFIR Investigations - Logs in AWSDFIR Investigations - Logs in AzureDFIR Investigations - Logs in GCPCloud Productivity SuitesThe Digital Forensics and Incident Response ProcessCommon Attack Vectors and TTPsCloud Evidence AcquisitionAnalyzing Compromised ContainersAnalyzing Compromised Cloud Productivity Suites

Take your organization's data maturity to the next level by operationalizing data governanceKey FeaturesDevelop the mindset and skills essential for successful data stewardshipApply practical advice and industry best practices, spanning data governance, quality management, and compliance, to enhance data stewardshipFollow a step-by-step program to develop a data operating model and implement data stewardship effectivelyPurchase of the print or Kindle book includes a free PDF eBookBook DescriptionIn the competitive data-centric world, mastering data stewardship is not just a requirement-it's the key to organizational success. Unlock strategic excellence with Data Stewardship in Action, your guide to exploring the intricacies of data stewardship and its implementation for maximum efficiency.From business strategy to data strategy, and then to data stewardship, this book shows you how to strategically deploy your workforce, processes, and technology for efficient data processing. You'll gain mastery over the fundamentals of data stewardship, from understanding the different roles and responsibilities to implementing best practices for data governance. You'll elevate your data management skills by exploring the technologies and tools for effective data handling. As you progress through the chapters, you'll realize that this book not only helps you develop the foundational skills to become a successful data steward but also introduces innovative approaches, including leveraging AI and GPT, for enhanced data stewardship.By the end of this book, you'll be able to build a robust data governance framework by developing policies and procedures, establishing a dedicated data governance team, and creating a data governance roadmap that ensures your organization thrives in the dynamic landscape of data management.What you will learnEnhance your job prospects by understanding the data stewardship field, roles, and responsibilitiesDiscover how to develop a data strategy and translate it into a functional data operating modelDevelop an effective and efficient data stewardship programGain practical experience of establishing a data stewardship initiativeImplement purposeful governance with measurable ROIPrioritize data use cases with the value and effort matrixWho this book is forThis book is for professionals working in the field of data management, including business analysts, data scientists, and data engineers looking to gain a deeper understanding of the data steward role. Senior executives who want to (re)establish the data governance body in their organizations will find this resource invaluable. While accessible to both beginners and professionals, basic knowledge of data management concepts, such as data modeling, data warehousing, and data quality, is a must to get started.Table of ContentsFrom Business Strategy to Data Strategy to Data StewardshipHow Data Stewardship can help your organizationGetting Started with the Data Stewardship ProgramDeveloping a Comprehensive Data Management StrategyPeople, Process, TechnologyEstablishing a Data Governance OrganizationData Steward Roles and ResponsibilitiesEffective Data StewardshipSupercharge Data Governance and Stewardship with GPTData Stewardship Best PracticesTheory versus Real LifeCase Studies