• Online, Self-Paced
Course Description

Azure Synapse Analytics is an analytics service that provides functionality for data integration, enterprise data warehousing, and big data analytics. Services provided include ingesting, exploring, preparing, managing, and serving data for BI and machine learning needs.

In this course, you'll learn about the Azure Synapse Analytics platform and how it is used for data warehousing and big data analytics. Next, you'll learn how to create a Synapse Workspace, a dedicated SQL pool, and a serverless Apache Spark pool. You'll move on to explore how to analyze data using a dedicated SQL pool, Apache Spark for Azure Synapse, Serverless SQL Pools, and a Spark database, as well as how to analyze data that is in a storage account. You'll learn how to integrate pipelines using Synapse Studio, visualize data using a Power BI workspace, and monitor a Synapse Workspace. Finally, you'll learn about the Synapse Knowledge Center and the features of Azure Synapse Analytics and PolyBase.

This course is one in a collection that prepares learners for the Microsoft Data Engineering on Microsoft Azure (DP-203) exam.

Learning Objectives

{"discover the key concepts covered in this course"}

Framework Connections

The materials within this course focus on the NICE Framework Task, Knowledge, and Skill statements identified within the indicated NICE Framework component(s):

Specialty Areas

  • Network Services