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

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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

19. Other Books You May Enjoy

Summary

In this chapter, we covered the concepts of Synapse SQL and Synapse Spark. After going through this chapter, you have learned how to create your SQL pool, how to use SQL on-demand, and how to use Spark pool, as well as learning how to change DWUs for your SQL pool using both the Azure portal and Synapse Studio.

You can refer to other books to learn more about Apache Spark. In this chapter, we have tried to cover the Apache Spark concepts that are most relevant to Synapse.

We have used Azure Data Studio in a couple of places, to give you an idea of how it works. We will be seeing Azure Data Studio again, later on. I personally like to use Azure Data Studio because it offers a very smooth SQL coding experience with built-in features such as multiple tab windows, a rich SQL editor, code navigation, and source control integration.

In the next chapter, we are going to talk about various ways to bring your data to Azure Synapse.