Book Image

Limitless Analytics with Azure Synapse

By : Prashant Kumar Mishra
Book Image

Limitless Analytics with Azure Synapse

By: Prashant Kumar Mishra

Overview of this book

Azure Synapse Analytics, which Microsoft describes as the next evolution of Azure SQL Data Warehouse, is a limitless analytics service that brings enterprise data warehousing and big data analytics together. With this book, you'll learn how to discover insights from your data effectively using this platform. The book starts with an overview of Azure Synapse Analytics, its architecture, and how it can be used to improve business intelligence and machine learning capabilities. Next, you'll go on to choose and set up the correct environment for your business problem. You'll also learn a variety of ways to ingest data from various sources and orchestrate the data using transformation techniques offered by Azure Synapse. Later, you'll explore how to handle both relational and non-relational data using the SQL language. As you progress, you'll perform real-time streaming and execute data analysis operations on your data using various languages, before going on to apply ML techniques to derive accurate and granular insights from data. Finally, you'll discover how to protect sensitive data in real time by using security and privacy features. By the end of this Azure book, you'll be able to build end-to-end analytics solutions while focusing on data prep, data management, data warehousing, and AI tasks.
Table of Contents (20 chapters)
Section 1: The Basics and Key Concepts
Section 2: Data Ingestion and Orchestration
Section 3: Azure Synapse for Data Scientists and Business Analysts
Section 4: Best Practices

Supporting T-SQL language elements in a Synapse SQL pool

The SELECT statement in T-SQL retrieves rows from a database and enables the selection of columns and rows from one or multiple tables in Azure Synapse SQL. You can use the SELECT statement with WHERE, GROUP BY, HAVING, and ORDER BY clauses in dedicated and serverless SQL pools. The syntax for the SELECT statement in Synapse SQL is similar to that found in Azure SQL Database or SQL Server.

The following code snippet provides an example of using a SELECT statement:

SELECT OrderDateKey, SUM(SalesAmount) AS TotalSales  
FROM FactInternetSales  
GROUP BY OrderDateKey  
HAVING OrderDateKey > 20010000  
ORDER BY OrderDateKey;

We can also create Common Table Expressions (CTEs) in Synapse SQL pools. We will learn about these in the following section.


A CTE is a temporary result set that is used to simplify complex joins and subqueries. CTEs can also be used to query hierarchical...