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Data Engineering with Apache Spark, Delta Lake, and Lakehouse

You're reading from  Data Engineering with Apache Spark, Delta Lake, and Lakehouse

Product type Book
Published in Oct 2021
Publisher Packt
ISBN-13 9781801077743
Pages 480 pages
Edition 1st Edition
Languages
Author (1):
Manoj Kukreja Manoj Kukreja
Profile icon Manoj Kukreja
Toc

Table of Contents (17) Chapters close

Preface 1. Section 1: Modern Data Engineering and Tools
2. Chapter 1: The Story of Data Engineering and Analytics 3. Chapter 2: Discovering Storage and Compute Data Lakes 4. Chapter 3: Data Engineering on Microsoft Azure 5. Section 2: Data Pipelines and Stages of Data Engineering
6. Chapter 4: Understanding Data Pipelines 7. Chapter 5: Data Collection Stage – The Bronze Layer 8. Chapter 6: Understanding Delta Lake 9. Chapter 7: Data Curation Stage – The Silver Layer 10. Chapter 8: Data Aggregation Stage – The Gold Layer 11. Section 3: Data Engineering Challenges and Effective Deployment Strategies
12. Chapter 9: Deploying and Monitoring Pipelines in Production 13. Chapter 10: Solving Data Engineering Challenges 14. Chapter 11: Infrastructure Provisioning 15. Chapter 12: Continuous Integration and Deployment (CI/CD) of Data Pipelines 16. Other Books You May Enjoy

Summary

In an era where organizations are aiming to do more with less, automation is quickly gaining a lot of attention. As CI/CD continues to grow and gain strength, it is set to become one of the most critical skills for modern data engineers. In most cases, the high cost of data engineers can only be justified if their skill set includes automation.

In many respects, adopting automation practices such as CI/CD is proving to be a lifesaver. Not only does automation take a lot of work off the data engineers' shoulders, but it also lowers costs by predictably performing repetitive iterations. On top of that, the built-in approval and fail fast mechanisms in CI/CD ensure team accountability and collaboration. If used wisely, adopting automation can ensure the predictable and seamless delivery of code and infrastructure components.

This is the last chapter of this book. I must admit that in the last 12 chapters, we have covered a lot of ground. We undertook the journey of...

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