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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

Concepts

Author (1):

Behram Irani

Table of Contents (24) Chapters

Preface

1. Part 1: Foundational Data Lake

2. Prologue: The Data and Analytics Journey So Far

3. Chapter 1: Modern Data Architecture on AWS

4. Chapter 2: Scalable Data Lakes

5. Part 2: Purpose-Built Services And Unified Data Access

6. Chapter 3: Batch Data Ingestion

7. Chapter 4: Streaming Data Ingestion

8. Chapter 5: Data Processing

9. Chapter 6: Interactive Analytics

10. Chapter 7: Data Warehousing

11. Chapter 8: Data Sharing

12. Chapter 9: Data Federation

13. Chapter 10: Predictive Analytics

14. Chapter 11: Generative AI

15. Chapter 12: Operational Analytics

16. Chapter 13: Business Intelligence

17. Part 3: Govern, Scale, Optimize And Operationalize

18. Chapter 14: Data Governance

19. Chapter 15: Data Mesh

20. Chapter 16: Performant and Cost-Effective Data Platform

21. Chapter 17: Automate, Operationalize, and Monetize

22. Index

Why subscribe?

23. Other Books You May Enjoy

Interactive Analytics

In this chapter, we will look at the following key topics:

Analytics using Amazon Athena
Analytics using Presto, Trino, and Hive on Amazon EMR

One of the fundamental principles of building a modern data architecture on AWS is hinged around using purpose-built tools for solving specific use cases. An enterprise data platform once fully built has many components, each with a specific purpose for solving a particular business use case.

In Chapter 2, Scalable Data Lakes, we went through the fundamentals of building a data lake on AWS using Amazon S3 as the storage layer and the AWS Glue Data Catalog as the technical metadata layer. Each layer of the data lake has data that may be of use to different personas in an organization. The most basic ask from each of these personas will be to provide them the ability to query datasets in the data lake using the SQL syntax so that they can derive insights from the data. Interactive analytics, using specific...

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Authors (1)

Behram Irani

Behram Irani is currently a technology leader with Amazon Web Services (AWS) specializing in data, analytics and AI/ML. He has spent over 18 years in the tech industry helping organizations, from start-ups to large-scale enterprises, modernize their data platforms. In the last 6 years working at AWS, Behram has been a thought leader in the data, analytics and AI/ML space; publishing multiple papers and leading the digital transformation efforts for many organizations across the globe. Behram has completed his Bachelor of Engineering in Computer Science from the University of Pune and has an MBA degree from the University of Florida.

See other products by Behram Irani

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