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

Product type Paperback

Published in Oct 2021

Publisher Packt

ISBN-13 9781801077743

Length 480 pages

Edition 1st Edition

Languages

Python

Tools

Apache Spark

Concepts

Data Engineering

Author (1):

Manoj Kukreja

View More author details

Table of Contents (17) Chapters

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

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Table of Contents (17) Chapters

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