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Modern Data Architecture on AWS

You're reading from Modern Data Architecture on AWS A Practical Guide for Building Next-Gen Data Platforms on AWS

Product type Paperback

Published in Aug 2023

Publisher Packt

ISBN-13 9781801813396

Length 420 pages

Edition 1st Edition

Tools

AWS

Concepts

Data Science

Author (1):

Behram Irani

View More author details

Table of Contents (24) Chapters

Preface

1. Part 1: Foundational Data Lake

2. Prologue: The Data and Analytics Journey So Far FREE CHAPTER

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

Index

As this ebook edition doesn't have fixed pagination, the page numbers below are hyperlinked for reference only, based on the printed edition of this book.

A

active learning 217

advanced query accelerator (AQUA) 129

Amazon AppFlow 60

usage patterns 60-62

use cases 61

using, for SaaS data ingestion 59, 60

Amazon Athena 61, 112, 167

features 112

for data sharing 151-155

for ETL 117-120

fundamentals 112

interactive analytics usage patterns 114, 115

performance tuning measures 348

query editor 112

used, for data federation 167, 168

with Apache Hudi 115

with Apache Iceberg 116, 117

with Delta Lake 117

workgroups 113

Amazon Athena Federated Query 167, 168

use case 170-173

working 169, 170

Amazon Athena for ETL operations

use case 117

Amazon Aurora 58, 133

zero-ETL integration, with Amazon Redshift 133

Amazon Bedrock 218, 219

Amazon CodeWhisperer 220

Amazon DataZone...

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Authors (1)

Behram Irani

Behram Irani

Behram Irani is currently a technology leader at Amazon Web Services (AWS), specializing in data, analytics, and AI/ML. With over 20 years in the tech industry, he has helped organizations ranging from start-ups to large-scale enterprises modernize their data platforms. In the last 7 years at AWS, Behram has been a thought leader in the data, analytics, and AI/ML space. He has published a book and multiple papers and has led digital transformation efforts for many companies worldwide. Behram holds a Bachelor of Engineering in Computer Science from the University of Pune and an MBA from the University of Florida. He is also the author of Modern Data Architecture on AWS.

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