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

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

Technical requirements

To comply with the instructions in the following sections, there are a number of prerequisites that need to be fulfilled before we proceed:

You should have your Azure subscription, or access to any other subscription with contributor-level access.
Create your Synapse workspace on this subscription. You can follow the instructions from Chapter 1, Introduction to Azure Synapse, to create your Synapse workspace.
Create your SQL pool and Spark pool on Azure Synapse. This has been covered in Chapter 2, Consideration for Your Compute Environment.
You must have created a storage account or must have the requisite permission to access Data Lake. You can go to the following link, https://azure.microsoft.com/en-us/resources/videos/creating-your-first-adls-gen2-data-lake/, to create a new storage account if you are creating one for the first time.
You must have SQL Server installed on your machine to follow this chapter. If you do not have a SQL...