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Limitless Analytics with Azure Synapse

Limitless Analytics with Azure Synapse

By : Saranya Ravichander, Prashant Kumar Mishra
4.6 (16)
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Limitless Analytics with Azure Synapse

Limitless Analytics with Azure Synapse

4.6 (16)
By: Saranya Ravichander, 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)
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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

Summary

In this chapter, we learned about different ways of securing our data in an Azure Synapse SQL pool. We got to learn how to implement network security, access management, threat protection, and information protection. We learned how to use SQL authorization and AAD authorization for connecting to the dedicated SQL pool.

We also learned how to send alerts to any specific user in case of any malicious activity in the SQL pool. Although we now know all the various layers of security in a SQL pool, we need to be careful to implement these forms of security properly in order to secure our data from all possible threats.

In the next chapter, we will learn how to manage and monitor various resources of your Azure Synapse workspace using Synapse Studio.

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