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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

Bringing data to Azure Synapse

In the Understanding the architecture and components section, we saw how architectures use different Azure services to perform real-time analytics on Azure. In this section, our main focus is to bring data from all data sources to Azure Synapse. We are going to learn about bringing data to Azure Synapse by using Azure Stream Analytics jobs, and later we will see how we can use Azure Databricks to copy data to Azure Synapse.

Using Azure Stream Analytics

Azure Stream Analytics is a real-time analytics engine that is designed to process a large volume of streaming data from various sources to various targets. Within Azure Stream Analytics, you can create an Azure Stream Analytics job that consists of an input, a query, and an output. You can use the Stream Analytics job to ingest data directly from the source to the target as is, or you can perform certain aggregation operations on the input data before sending it to the target.

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