Integrate Azure Synapse Analytics with Azure Data and AI services

In this module, you will:

• Describe the Power BI and Synapse workspace integration
• Understand Power BI data sources
• Describe optimization options
• Visualize data with serverless SQL pools

In this module, you will:

• Describe Azure Machine Learning and how it integrates with an Azure Synapse Analytics workspace
• Describe Azure Machine Learning AutoML
• Understand how to score machine learning models with PREDICT

• 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

• 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