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

Using Synapse pipelines to import data

Data ingestion is one of the most critical aspects of data analytics, and there are many tools available for data movement. The challenge is to decide which tool is more efficient for your environment. In this section, we are going to show how can you use inbuilt orchestration tools available in Synapse for data ingestion. There are two options available under the Orchestrate tab: the first one is Pipeline, which can be used for data ingestion, but also allows you to add transformation logic. The second option is to use Copy Data tool, which gives you the option to only move data without implementing any data transformation logic. So, in a nutshell, you can use Copy Data tool if you require a pipeline just for data ingestion, but you have the option to use Pipeline if you need to add business logic to your data.

The following screenshot shows the Integrate hub of Synapse Studio, where we are going to use the Copy Data tool or Pipeline options...