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Microsoft

Integrate Azure Synapse Analytics with Azure Data and AI services

Microsoft via Microsoft Learn

Overview

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  • Module 1: Build reports using Power BI within Azure Synapse Analytics
  • 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
  • Module 2: Integrate machine learning within Azure Synapse Analytics
  • 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

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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