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

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The DevOps process

DevOps, short for development and operations, is an approach to software development and deployment that aims to bridge the gap between development teams, which are responsible for creating the data platform, and operations teams, which are responsible for deploying and managing the service in production environments. DevOps emphasizes collaboration, communication, and automation to streamline the software development life cycle and improve the speed, efficiency, and quality of software delivery.

DevOps aims to stabilize the priorities of two competing forces in the business. The following figure highlights this friction between the development and operations teams.