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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

Who this book is for

Data Engineering with Databricks Cookbook is crafted for a diverse audience, ranging from beginners to seasoned professionals in the field of data engineering. Here’s who will benefit the most from this book:

  • Data engineers who are looking to deepen their understanding of the Databricks Lakehouse Platform and want to efficiently process, manage, and analyze large datasets
  • Data scientists who desire to leverage the power of Apache Spark for complex data analytics and machine learning tasks
  • Data analysts who aim to transform data into actionable insights using Databricks and Delta Lake
  • Software developers with an interest in data processing and analytics, who are looking to integrate Databricks into their software solutions
  • IT professionals who manage big data infrastructure and are considering Databricks as a solution for their organization

Whether you’re taking your first steps into big data or are an experienced practitioner, this book provides valuable knowledge and skills that can be applied to real-world data challenges. If you’re passionate about data and eager to learn how to build scalable and effective data solutions, this book is for you.

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