You're reading from Limitless Analytics with Azure Synapse An end-to-end analytics service for data processing, management, and ingestion for BI and ML

Product type Paperback

Published in Jun 2021

Publisher Packt

ISBN-13 9781800205659

Length 392 pages

Edition 1st Edition

Languages

Python

Tools

Azure

Concepts

Data Processing

Authors (2):

Saranya Ravichander

Prashant Kumar Mishra

View More author details

Table of Contents (20) Chapters

Preface

1. Section 1: The Basics and Key Concepts

2. Chapter 1: Introduction to Azure Synapse FREE CHAPTER

3. Chapter 2: Considerations for Your Compute Environment

4. Section 2: Data Ingestion and Orchestration

5. Chapter 3: Bringing Your Data to Azure Synapse

6. Chapter 4: Using Synapse Pipelines to Orchestrate Your Data

7. Chapter 5: Using Synapse Link with Azure Cosmos DB

8. Section 3: Azure Synapse for Data Scientists and Business Analysts

9. Chapter 6: Working with T-SQL in Azure Synapse

10. Chapter 7: Working with R, Python, Scala, .NET, and Spark SQL in Azure Synapse

11. Chapter 8: Integrating a Power BI Workspace with Azure Synapse

12. Chapter 9: Perform Real-Time Analytics on Streaming Data

13. Chapter 10: Generate Powerful Insights on Azure Synapse Using Azure ML

14. Section 4: Best Practices

15. Chapter 11: Performing Backup and Restore in Azure Synapse Analytics

16. Chapter 12: Securing Data on Azure Synapse

17. Chapter 13: Managing and Monitoring Synapse Workloads

18. Chapter 14: Coding Best Practices

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Implementing best practices for a Synapse Spark pool

As with Synapse SQL pools, it is also important to keep our Spark pool healthy. In this section, we are going to learn how to optimize cluster configuration for any particular workload. We will also learn how to use various techniques for enhancing Apache Spark performance.

Configuring the Auto-pause setting

There are some major advantages of using Platform-as-a-Service (PaaS) instead of an on-premises environment, and the Auto-pause setting is one of the best features that PaaS has to offer. If you are running a Spark cluster on your on-premises environment, you need to pay for provisioning it even though you may only need to use this cluster for a couple of hours a day. However, Synapse gives you the option to configure the Auto-pause setting to pause a cluster automatically if not in use. Upon entering a value for the Number of minutes idle field within the Auto-pause setting, the Spark pool will go to a Pause state automatically...