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

Summary

In this chapter, we learned how to perform real-time analytics using Azure Synapse. We learned how to bring data to Azure Synapse by using Azure Stream Analytics and Azure Databricks. We also learned how to create a view in a serverless SQL pool and how to use this view to connect to Power BI Desktop for data visualizations. We used a sample application in this chapter to stream data to an Azure Cosmos DB account by using a sample JSON file. You can download and use this application if you want to perform a proof of concept on this particular topic yourself.

In the next chapter, we are going to learn how to use Azure Machine Learning with Azure Synapse. It is important to have prior knowledge of Azure Machine Learning before plunging to the next chapter. You will also learn how to use machine learning models with Azure Synapse SQL and Spark pools.