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

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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

Chapter 6: Working with T-SQL in Azure Synapse

Azure Synapse Structured Query Language (SQL) enables you to query your data using the Transact-SQL (T-SQL) language, which means you do not need to learn any new languages if you already have prior experience working with SQL. As we now know, Azure Synapse SQL supports two types of consumption models, dedicated and serverless, and you will notice some differences in the supported features of both models. In this chapter, we are going to cover T-SQL language elements that are supported in Synapse SQL pools. We will also learn how we can create stored procedures and views in Synapse SQL pools. As with SQL Server and Azure SQL, we will learn which system views are supported in a Synapse SQL pool.

This chapter will help you get familiar with the features supported in Azure Synapse SQL. We will learn how to use T-SQL queries on unstructured data as well.

We are going to cover the following topics in this chapter, which will help you...