Integrate Azure Synapse Analytics with Azure Data and AI services
Offered By: Microsoft via Microsoft Learn
Course Description
Overview
- Module 1: Build reports using Power BI within Azure Synapse Analytics
- Describe the Power BI and Synapse workspace integration
- Understand Power BI data sources
- Describe optimization options
- Visualize data with serverless SQL pools
- Module 2: Integrate machine learning within Azure Synapse Analytics
- 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
In this module, you will:
In this module, you will:
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
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