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)
1
Section 1: The Basics and Key Concepts
4
Section 2: Data Ingestion and Orchestration
8
Section 3: Azure Synapse for Data Scientists and Business Analysts
14
Section 4: Best Practices

Optimizing transactions in Synapse SQL

In simple words, a group of data modification operations is called a transaction. If all operations are successful, we can call it a successful transaction. In a successful transaction, all the modifications are committed and become a permanent part of the database; otherwise, all the data modifications will be erased.

In this section, we are going to learn how to manage transactions in Synapse SQL pools. In the case of any failure, you will need to roll back all the changes made during the execution of stored procedures in order to maintain consistency in your data. You can handle any sort of exceptions in stored procedures using a TRY-CATCH block, as illustrated in the following code snippet:

SET NOCOUNT ON;
DECLARE @xact_state smallint = 0;
BEGIN TRAN
    BEGIN TRY
        DECLARE @i INT;        
       ...