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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

Why subscribe?

15. Other Books You May Enjoy

Building a data pipeline with Delta Live Tables on Databricks

In this recipe, you will learn how to use Delta Live Tables to build a simple data pipeline that ingests streaming data from a Kafka topic, performs some transformations and aggregations, and writes the results to a Delta table. You will also learn how to define data quality expectations, deploy and trigger your pipeline, and monitor its execution.

How to do it…

Go to the Workflows UI: Click on Workflows from the left navigation panel:

Figure 9.1 – The Workflows navigation panel

Figure 9.1 – The Workflows navigation panel

Go to Delta Live Tables: Click on the Delta Live Tables tab:

Figure 9.2 – The Delta Live Tables tab

Figure 9.2 – The Delta Live Tables tab

Create a Delta Live Tables pipeline: Click on the Create pipeline button at the top right of the page:

Figure 9.3 – The Create pipeline button

Figure 9.3 – The Create pipeline button

General Delta Live Tables pipeline details: Provide...

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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.

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