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Distributed Data Systems with Azure Databricks

You're reading from   Distributed Data Systems with Azure Databricks Create, deploy, and manage enterprise data pipelines

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Product type Paperback
Published in May 2021
Publisher Packt
ISBN-13 9781838647216
Length 414 pages
Edition 1st Edition
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Author (1):
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Alan Bernardo Palacio Alan Bernardo Palacio
Author Profile Icon Alan Bernardo Palacio
Alan Bernardo Palacio
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Table of Contents (17) Chapters Close

Preface 1. Section 1: Introducing Databricks
2. Chapter 1: Introduction to Azure Databricks FREE CHAPTER 3. Chapter 2: Creating an Azure Databricks Workspace 4. Section 2: Data Pipelines with Databricks
5. Chapter 3: Creating ETL Operations with Azure Databricks 6. Chapter 4: Delta Lake with Azure Databricks 7. Chapter 5: Introducing Delta Engine 8. Chapter 6: Introducing Structured Streaming 9. Section 3: Machine and Deep Learning with Databricks
10. Chapter 7: Using Python Libraries in Azure Databricks 11. Chapter 8: Databricks Runtime for Machine Learning 12. Chapter 9: Databricks Runtime for Deep Learning 13. Chapter 10: Model Tracking and Tuning in Azure Databricks 14. Chapter 11: Managing and Serving Models with MLflow and MLeap 15. Chapter 12: Distributed Deep Learning in Azure Databricks 16. Other Books You May Enjoy

Chapter 5: Introducing Delta Engine

Delta Engine is the query engine of Delta Lake, which is included by default in Azure Databricks. It is built in a way that allows us to optimize the processing of data in our Delta Lake in a variety of ways, thanks to optimized layouts and improved data indexing. These optimization operations include the use of dynamic file pruning (DFP), Z-Ordering, Auto Compaction, ad hoc processing, and more. The added benefit of these optimization operations is that several of these operations take place in an automatic manner, just by using Delta Lake. You will be using Delta Engine optimization in many ways.

In this chapter, you will learn how to make use of Delta Lake to optimize your Delta Lake ETL in Azure Databricks. Here are the topics on which we will center our discussion:

  • Optimizing file management with Delta Engine
  • Optimizing queries using DFP
  • Using Bloom filters
  • Optimizing join performance

Delta Engine is all about optimization...

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