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Limitless Analytics with Azure Synapse

You're reading from Limitless Analytics with Azure Synapse

Product type Book

Published in Jun 2021

Publisher Packt

ISBN-13 9781800205659

Pages 392 pages

Edition 1st Edition

Languages

Concepts

Author (1):

Prashant Kumar Mishra

Table of Contents (20) Chapters

Preface

1. Section 1: The Basics and Key Concepts

2. Chapter 1: Introduction to Azure Synapse

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 perform real-time analytics using Azure Synapse. We learned how to bring data to Azure Synapse by using Azure Stream Analytics and Azure Databricks. We also learned how to create a view in a serverless SQL pool and how to use this view to connect to Power BI Desktop for data visualizations. We used a sample application in this chapter to stream data to an Azure Cosmos DB account by using a sample JSON file. You can download and use this application if you want to perform a proof of concept on this particular topic yourself.

In the next chapter, we are going to learn how to use Azure Machine Learning with Azure Synapse. It is important to have prior knowledge of Azure Machine Learning before plunging to the next chapter. You will also learn how to use machine learning models with Azure Synapse SQL and Spark pools.

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Authors (1)

Prashant Kumar Mishra

Prashant Kumar Mishra is an engineering architect at Microsoft. He has more than 10 years of professional expertise in the Microsoft data and AI segment as a developer, consultant, and architect. He has been focused on Microsoft Azure Cloud technologies for several years now and has helped various customers in their data journey. He prefers to share his knowledge with others to make the data community stronger day by day through his blogs and meetup groups.

See other products by Prashant Kumar Mishra

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