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Data Engineering with Databricks Cookbook

You're reading from Data Engineering with Databricks Cookbook Build effective data and AI solutions using Apache Spark, Databricks, and Delta Lake

Product type Paperback

Published in May 2024

Publisher Packt

ISBN-13 9781837633357

Length 438 pages

Edition 1st Edition

Tools

Apache Spark

Concepts

Data Engineering

Author (1):

Pulkit Chadha

View More author details

Table of Contents (16) Chapters

Preface

1. Part 1 – Working with Apache Spark and Delta Lake FREE CHAPTER

2. Chapter 1: Data Ingestion and Data Extraction with Apache Spark

3. Chapter 2: Data Transformation and Data Manipulation with Apache Spark

4. Chapter 3: Data Management with Delta Lake

5. Chapter 4: Ingesting Streaming Data

6. Chapter 5: Processing Streaming Data

7. Chapter 6: Performance Tuning with Apache Spark

8. Chapter 7: Performance Tuning in Delta Lake

9. Part 2 – Data Engineering Capabilities within Databricks

10. Chapter 8: Orchestration and Scheduling Data Pipeline with Databricks Workflows

11. Chapter 9: Building Data Pipelines with Delta Live Tables

12. Chapter 10: Data Governance with Unity Catalog

13. Chapter 11: Implementing DataOps and DevOps on Databricks

14. Index

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15. Other Books You May Enjoy

Technical requirements

Before starting, make sure that your docker-compose images are up and running. Open JupyterLab’s server, running on localhost (http: //127 .0.0. 1:8888/ lab). Additionally, ensure that you have cloned the Git repo for this book and have access to the notebook and data used in this chapter.

Remember to stop all services defined in the docker-compose file for this book when you are done running the code examples. You can do this by executing this command:

$ docker-compose stop

You can find the notebooks and data for this chapter at https://github.com/PacktPublishing/Data-Engineering-with-Databricks-Cookbook/tree/main/Chapter04.

The rest of the chapter is locked

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Authors (1)

Pulkit Chadha

Pulkit Chadha

Pulkit Chadha is a Sr. Solutions Architect at Databricks. He has over 12 years of experience working in Data Engineering. With his expertise in building and optimizing data pipelines using various tools and technologies Pulkit has worked with enterprises in various industries, including healthcare, Media and Entertainment, Hi-Tech, and Manufacturing providing data engineering solutions to meet enterprises' unique business needs. His work history includes the likes of Dell Services, Adobe, and Databricks. Pulkit holds a Masters's Degree in Management Information Systems from Eller College of Management at the University Of Arizona and has several cloud certifications in data analytics.

See other products by Pulkit Chadha

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