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

Understanding Synapse SQL on-demand

SQL on-demand is a serverless distributed data processing system that enables you to analyze your big data faster. There is no need to set up infrastructure or maintain a cluster to start using SQL on-demand, so you can start querying data as soon the workspace is created.

In this section, we are going to talk about the architecture and components of Synapse SQL on-demand, the benefits of using SQL on-demand, and how you can query files in your Azure Storage accounts using SQL on-demand.

SQL on-demand architecture and components

SQL on-demand is serverless, so scaling automatically accommodates the resource requirements for any query. The SQL on-demand architecture also has a control node, a compute node, DMS, and Azure Storage, but it does not have an MPP engine; instead, it uses a Distributed Query Processing (DQP) engine.

The architecture, as illustrated in the following screenshot, explains how a control node leverages a DQP engine...