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

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...