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Modern Data Architecture on AWS

You're reading from  Modern Data Architecture on AWS

Product type Book
Published in Aug 2023
Publisher Packt
ISBN-13 9781801813396
Pages 420 pages
Edition 1st Edition
Languages
Author (1):
Behram Irani Behram Irani
Profile icon Behram Irani

Table of Contents (24) Chapters

Preface Part 1: Foundational Data Lake
Prologue: The Data and Analytics Journey So Far Chapter 1: Modern Data Architecture on AWS Chapter 2: Scalable Data Lakes Part 2: Purpose-Built Services And Unified Data Access
Chapter 3: Batch Data Ingestion Chapter 4: Streaming Data Ingestion Chapter 5: Data Processing Chapter 6: Interactive Analytics Chapter 7: Data Warehousing Chapter 8: Data Sharing Chapter 9: Data Federation Chapter 10: Predictive Analytics Chapter 11: Generative AI Chapter 12: Operational Analytics Chapter 13: Business Intelligence Part 3: Govern, Scale, Optimize And Operationalize
Chapter 14: Data Governance Chapter 15: Data Mesh Chapter 16: Performant and Cost-Effective Data Platform Chapter 17: Automate, Operationalize, and Monetize Index Other Books You May Enjoy

Summary

In this chapter, we looked at what data lakes are, why they are important, and what some of the challenges of on-premises data lakes are. We had enough context to pivot toward what a modern data architecture looks like and why it’s important to build data platforms using this architecture pattern. And, as the climax was building up, AWS made a grand entry. We looked at the pillars of a modern data architecture on AWS. The stage is now set to get into details of each of these pillars. The flow of this book going forward is in line with these pillars.

With this chapter, our rollercoaster has just reached the top at cruising speed. Now, in the subsequent chapters, hang tight for all the thrills of the actual use cases and how the whole modern data platform slowly starts to take shape.

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