English | 2023 | ISBN: 978-1801813396 | 420 Pages | PDF, EPUB | 59 MB
Discover all the essential design and architectural patterns in one place to help you rapidly build and deploy your modern data platform using AWS services
Key Features
- Learn to build modern data platforms on AWS using data lakes and purpose-built data services
- Uncover methods of applying security and governance across your data platform built on AWS
- Find out how to operationalize and optimize your data platform on AWS
Many 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 learn
- Familiarize yourself with the building blocks of modern data architecture on AWS
- Discover how to create an end-to-end data platform on AWS
- Design data architectures for your own use cases using AWS services
- Ingest data from disparate sources into target data stores on AWS
- Build data pipelines, data sharing mechanisms, and data consumption patterns using AWS services
- Find out how to implement data governance using AWS services
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