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


In this chapter, we covered the concepts of Synapse SQL and Synapse Spark. After going through this chapter, you have learned how to create your SQL pool, how to use SQL on-demand, and how to use Spark pool, as well as learning how to change DWUs for your SQL pool using both the Azure portal and Synapse Studio.

You can refer to other books to learn more about Apache Spark. In this chapter, we have tried to cover the Apache Spark concepts that are most relevant to Synapse.

We have used Azure Data Studio in a couple of places, to give you an idea of how it works. We will be seeing Azure Data Studio again, later on. I personally like to use Azure Data Studio because it offers a very smooth SQL coding experience with built-in features such as multiple tab windows, a rich SQL editor, code navigation, and source control integration.

In the next chapter, we are going to talk about various ways to bring your data to Azure Synapse.