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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

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Product type Paperback
Published in Aug 2023
Publisher Packt
ISBN-13 9781801813396
Length 420 pages
Edition 1st Edition
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Author (1):
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Behram Irani Behram Irani
Author Profile Icon Behram Irani
Behram Irani
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Table of Contents (24) Chapters Close

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 23. Other Books You May Enjoy

Operational Analytics

Every business performs certain operations to generate revenue. All these operations eventually generate lots of data, across multiple systems. Many organizations perform operations via the digital space by providing a variety of software applications. All these applications perform a ton of operational logs on the systems they are hosted on. There is a wealth of information in these log files – system errors, performance statistics, security aspects, network traffic patterns, customer information, and so forth. Across all these applications on multiple systems, the amount of daily log data that’s generated can be overwhelming to store, manage, and analyze to get insights from it. Finding relevant pieces of information across all these logs is like finding a needle in a haystack.

To solve this problem of analyzing log data, there needs to be a suitable technology and supporting toolset that can help index all this data and make it easy to search...

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