Integrate Azure Synapse Analytics with Azure Data and AI services

Microsoft via Microsoft Learn

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Overview

This course provides a comprehensive guide to integrating Azure Synapse Analytics with various Azure Data and AI services to build scalable, intelligent data solutions. Azure Synapse Analytics is a powerful analytics service that brings together big data and data warehousing. By combining Synapse with Azure’s AI and data services, organizations can unlock advanced insights, improve data workflows, and accelerate decision-making. Participants will learn how to seamlessly connect Azure Synapse with AI services such as Azure Machine Learning, Cognitive Services, and Azure...

Syllabus

Module 1: Build reports using Power BI within Azure Synapse Analytics

Introduction
Describe the Power BI and Synapse workspace integration
Exercise - Connect to Power BI from Synapse
Understand Power BI data sources
Exercise - Create a new data source to use in Power BI
Exercise - Create a new Power BI report in Synapse Studio
Describe Power BI optimization options
Exercise - Improve performance with materialized views and result-set caching
Visualize data with serverless SQL pools
Knowledge check
Summary

Module 2: Integrate machine learning within Azure Synapse Analytics

Introduction
Describe Azure Machine Learning and how it integrates with an Azure Synapse Analytics workspace
Exercise - Create an Azure Machine Learning linked service
Describe Azure Machine Learning AutoML
Exercise - Trigger an AutoML experiment using data from a Spark table
Understand how to score machine learning models with PREDICT
Exercise - Enrich data using trained models with the PREDICT function
Knowledge check
Summary