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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

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Product type Paperback
Published in May 2024
Publisher Packt
ISBN-13 9781837633357
Length 438 pages
Edition 1st Edition
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Author (1):
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Pulkit Chadha Pulkit Chadha
Author Profile Icon Pulkit Chadha
Pulkit Chadha
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Table of Contents (16) Chapters Close

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 15. Other Books You May Enjoy

Using Databricks Repos to store code in Git

Git is a distributed version control system (VCS) that allows you to track and manage your code changes across multiple collaborators and branches. Databricks Repos is a feature that integrates Git with Databricks, enabling you to create, clone, and modify Git-backed notebooks and projects within your Databricks workspace. By using Databricks Repos, you can leverage the benefits of Git, such as version control, collaboration, and code reuse, while working with Databricks notebooks and libraries.

In this recipe, you will learn how to use the Databricks Repos UI or the Repos API to link your Git repository to a Databricks workspace and how to sync your code changes between the two.

Getting ready

Before you start using Databricks Repos, you need to have the following prerequisites:

  • A Databricks workspace with the Repos feature enabled. You can check if you have access to Repos by clicking the Repos icon on the left sidebar of...
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