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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

Amazon OpenSearch Service

OpenSearch (https://opensearch.org/) is an open source search engine forked from Elasticsearch 7.10.2. It also contains a visualization dashboard component that is forked from Kibana 7.10.2. OpenSearch has a distributed architecture where documents are collected in an index; these indices are divided into shards. Multiple nodes are present in an OpenSearch domain, where shards are replicated across nodes for high availability. In that sense, a lot of configuration, setup, and operational overhead is needed to set up a self-managed OpenSearch platform.

To alleviate the infrastructure setup pain, AWS provides a managed service that makes it easy to deploy, operate, and scale OpenSearch clusters. Amazon OpenSearch Service can either be created in provisioned mode, where users get to select the type and number of nodes to leverage in a cluster, or it can be in serverless mode, where there is no sizing to be done. Provisioned mode is suitable for steady and...

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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.

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