Modern Data Architecture on AWS: A Practical Guide for Building Next-Gen Data Platforms on AWS (en Inglés)
Reseña del libro "Modern Data Architecture on AWS: A Practical Guide for Building Next-Gen Data Platforms on AWS (en Inglés)"
Discover all the essential design and architectural patterns in one place to help you rapidly build and deploy your modern data platform using AWS servicesKey FeaturesLearn to build modern data platforms on AWS using data lakes and purpose-built data servicesUncover methods of applying security and governance across your data platform built on AWSFind out how to operationalize and optimize your data platform on AWSPurchase of the print or Kindle book includes a free PDF eBookBook DescriptionMany IT leaders and professionals are adept at extracting data from a particular type of database and deriving value from it. However, designing and implementing an enterprise-wide holistic data platform with purpose-built data services, all seamlessly working in tandem with the least amount of manual intervention, still poses a challenge.This book will help you explore end-to-end solutions to common data, analytics, and AI/ML use cases by leveraging AWS services. The chapters systematically take you through all the building blocks of a modern data platform, including data lakes, data warehouses, data ingestion patterns, data consumption patterns, data governance, and AI/ML patterns. Using real-world use cases, each chapter highlights the features and functionalities of numerous AWS services to enable you to create a scalable, flexible, performant, and cost-effective modern data platform.By the end of this book, you'll be equipped with all the necessary architectural patterns and be able to apply this knowledge to efficiently build a modern data platform for your organization using AWS services.What you will learnFamiliarize yourself with the building blocks of modern data architecture on AWSDiscover how to create an end-to-end data platform on AWSDesign data architectures for your own use cases using AWS servicesIngest data from disparate sources into target data stores on AWSBuild data pipelines, data sharing mechanisms, and data consumption patterns using AWS servicesFind out how to implement data governance using AWS servicesWho this book is forThis book is for data architects, data engineers, and professionals creating data platforms. The book's use case-driven approach helps you conceptualize possible solutions to specific use cases, while also providing you with design patterns to build data platforms for any organization. It's beneficial for technical leaders and decision makers to understand their organization's data architecture and how each platform component serves business needs. A basic understanding of data & analytics architectures and systems is desirable along with beginner's level understanding of AWS Cloud.Table of ContentsModern Data Architecture on AWSScalable Data LakesBatch Data IngestionStreaming Data IngestionData ProcessingInteractive AnalyticsData WarehousingData SharingData FederationPredictive AnalyticsGenerative AIOperational AnalyticsBusiness IntelligenceData GovernanceData MeshPerformant and Cost-effective Data PlatformAutomate, Operationalize and Monetize
