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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 Create scalable pipelines that ingest, curate, and aggregate complex data in a timely and secure way

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Product type Paperback
Published in Oct 2021
Publisher Packt
ISBN-13 9781801077743
Length 480 pages
Edition 1st Edition
Languages
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Author (1):
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Manoj Kukreja Manoj Kukreja
Author Profile Icon Manoj Kukreja
Manoj Kukreja
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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 FREE CHAPTER 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

Chapter 11: Infrastructure Provisioning

While the demand for data analytics grows, data engineers are becoming an expensive and hard-to-find commodity in the marketplace. On the other hand, organizations that hire data engineers are finding innovative methods to do more with less so that they can justify the high resource costs. In a recent trend, most of these organizations have started to use automated infrastructure provisioning as a means to streamline cloud deployments. Until recently, infrastructure provisioning work has typically been handled by the DevOps group, but not anymore.

In the previous chapter, we talked about the dynamic nature of the data engineer's job profile. The modern data engineer needs to keep up with this latest trend and train themselves in a few DevOps skills. This chapter and the next are designed to teach the data engineer a few critical DevOps skills.

Important Note

In today's job market, a data engineer who knows DevOps is a lethal...

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