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Limitless Analytics with Azure Synapse

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

Cross-subscription restore

As of the time of writing, cross-subscription restore is not supported in Azure Synapse. However, there have been various requests submitted for this particular feature, hence the Synapse team might consider this request for the next release cycle.

In the future, whenever this feature becomes available in Azure Synapse, we will capture it in the book.

With this, we have learned everything about the backup and restoration of Azure Synapse dedicated SQL pools, along with their limitations and usages.

The rest of the chapter is locked

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Authors (2)

Saranya Ravichander

Saranya Ravichander

Saranya Ravichander has more than 10 years of experience in the IT industry with more than 7 years at Microsoft. Currently, she is a senior cloud solution architect at Microsoft. She specializes in enterprise application management with a core competency in Microsoft Azure.

See other products by Saranya Ravichander

Prashant Kumar Mishra

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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