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

Machine learning capabilities in Azure Synapse

Data analysis is not a standalone process that can be executed without getting help from other counterpart services. Before we learn how to use Azure ML services with Azure Synapse, it's important to understand the various steps involved in any data analysis process, such as data collecting, transforming, cleaning, and modeling data.

We are going to learn about these steps in brief in the following subsections.

Data ingestion and orchestration

This section is focused on the data collection and transformation process. In this section, we are going to learn how to create a Synapse pipeline for data ingestion and how to use notebooks for data orchestration.

Azure Synapse pipelines provide a variety of data sources to ingest data from. An Azure Synapse pipeline is an integrated part of Azure Synapse used to Extract, Transform, and Load (ETL) data. To learn more about Azure Synapse pipelines, you can refer to Chapter 4, Using...