Modern Data Architecture on AWS: A Practical Guide for Building Next-Gen Data Platforms on AWS

Book Synopsis:

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

Book Description

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

Who this book is for

This book is for data architects, data engineers, and professionals involved in building data platforms. The use case–driven approach taken in this book will help you conceptualize possible solutions to specific use cases, while also providing you with design patterns to build data platforms for any organization. Technical leaders and decision makers will also benefit from this book by gaining a perspective of what the overall data architecture looks like for their organization and how each component of the platform helps with their business needs.

Table of Contents

1. Prologue: Data and Analytics Journey So Far
2. Modern Data Architecture on AWS
3. Scalable Data Lakes
4. Batch Data Ingestion
5. Streaming Data Ingestion
6. Data Processing
7. Interactive Analytics
8. Data Warehousing
9. Data Sharing
10. Data Federation
11. Predictive Analytics
12. Generative AI
13. Operational Analytics
14. Business Intelligence
15. Data Governance
16. Data Mesh
17. Performant and Cost-effective Data Platform
18. Automate, Operationalize and Monetize