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

Understanding Spark pool

Apache Spark is a very fast unified analytics engine for big data and machine learning.

Synapse Spark Pool is one of Microsoft's implementations of Apache Spark in Azure. Synapse Analytics workspace has a Spark engine built in, along with Notebook support. Because Synapse Spark supports C#, we can write Spark .NET directly within notebooks. You can also write your code in Python, Scala, C#, and SQL.

One Spark pool can be accessed by multiple users, but for every user, one new Spark instance will be created. A Spark instance is also dependent on the Spark pool capacity: if there is enough capacity in the pool to run multiple queries, the existing instance will be able to process the job; otherwise, a new instance will be created to process the job.

The following diagram displays different components of Apache Spark on Azure Synapse:  

Figure 2.17 – Apache Spark in Azure Synapse Analytics

Figure 2.17 – Apache Spark in Azure Synapse Analytics

Let&apos...