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

Implementing best practices for a Synapse dedicated SQL pool

In the previous chapters, we learned many things about Synapse dedicated SQL pools. In this section, we will only learn about the best practices to maintain your dedicated SQL pool and keep it healthy from a computational or storage point of view.

In order to get better performance, we need to have optimized code, but along with that we need to consider various other factors as well. You may have sometimes experienced that your query had been performing well until last week and then suddenly, its performance dropped drastically. So, how do you avoid such kinds of hiccups in your production environment? In the following section, we are going to learn about a couple of features or implementations to keep your query performance constantly healthy.

Maintaining statistics

Statistics play a critical role in query performance. They provide a distribution of column values to the query optimizer, and that is used by the SQL...