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

19. Other Books You May Enjoy

Summary

In this chapter, we learned how to integrate Power BI with Azure Synapse. Azure Synapse has made it really convenient to keep data, analysis, and visualizations together. Now, we do not need to go to the Power BI tool to generate a report using Synapse data.

Aside from a dedicated SQL pool, Synapse also enables us to create reports by using serverless SQL pool data as well. Thus, by using Azure Synapse, we can read the data directly from Azure Data Lake Gen2, create a view on top of that data, and create visualizations in Power BI, in just a couple of minutes. In this chapter, not only did we learn about integrating the Power BI workspace with your Synapse workspace, but also how to create or modify reports directly in Synapse Studio. This chapter also outlined how to create visualizations for the data stored in Synapse SQL pools.

In the next chapter, we are going to learn how to use Azure Synapse to perform real-time analytics on streaming data.