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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 Prashant Kumar Mishra
Profile icon Prashant Kumar Mishra
LinkedIn
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

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

Section 3: Azure Synapse for Data Scientists and Business Analysts

The objective of this section is to introduce you to the various ways of querying or reading data on Azure Synapse.

This section comprises the following chapters:

  • Chapter 6, Working with T-SQL in Azure Synapse
  • Chapter 7, Working with R, Python, Scala, .NET, and Spark SQL in Azure Synapse
  • Chapter 8, Integrating a Power BI Workspace with Azure Synapse
  • Chapter 9, Perform Real-Time Analytics on Streaming Data
  • Chapter 10, Generate Powerful Insights on Azure Synapse Using Azure Machine Learning
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Authors (1)

Profile icon Prashant Kumar Mishra
LinkedIn
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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