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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 use cases

Let’s dive straight into how Amazon OpenSearch Service can help solve many of the operational analytics use cases that organizations may have.

Application and security monitoring

Use case for application and security monitoring using Amazon OpenSearch Service

GreatFin, being a large financial conglomerate, has many applications, services, systems, and infrastructure setups across all LOBs. The security team wants to leverage a cost-effective solution to provide them with search capabilities in a centralized logging account. This will ensure that security can proactively monitor all threats and look for certain patterns in the log data. At the same time, each LOB also wants to monitor the logs for application issues and latency. The teams are looking for options to ingest data into this operational analytics platform and use dashboards with monitoring and alerting capabilities to look out for specific patterns in the data.

What...

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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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