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

Preparing the environment

Before we can start learning about Azure ML integration with Azure Synapse, we need to prepare the environment to run ML operations on Azure Synapse, by creating some resources on Azure.

Creating a Text Analytics resource in the Azure portal

Text analytics is an AI service that is used to discover insights such as sentiment, entities, key phrases, and so on, in unstructured text. This resource will be used for performing sentiment analysis on data using a Synapse Spark pool in the Sentiment analysis section.

You can go through the following steps to create a Text Analytics resource in the Azure portal:

  1. Log in to the Azure portal, at
  2. Click on + Create a resource and select Text Analytics from the list of all available resources.
  3. You can see the overview of this service. Click on Create:
    Figure 10.1 – Creating a Text Analytics resource in the Azure portal

    Figure 10.1 – Creating a Text Analytics resource in the Azure portal

  4. Fill in the values for Subscription, Resource...