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Model, query, and explore data in Azure Synapse

Offered By: Microsoft via Microsoft Learn

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Microsoft Azure Courses Data Analysis Courses SQL Courses Apache Spark Courses Data Lakes Courses Azure Synapse Analytics Courses JSON Courses Data Modeling Courses Parquet Courses

Course Description

Overview

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  • Module 1: Introduction to Azure Synapse Analytics

    In this module, you'll learn how to:

    • Identify the business problems that Azure Synapse Analytics addresses.
    • Describe core capabilities of Azure Synapse Analytics.
    • Determine when to use Azure Synapse Analytics.
  • Module 2: Use Azure Synapse serverless SQL pool to query files in a data lake

    After the completion of this module, you will be able to:

    • Identify capabilities and use cases for serverless SQL pools in Azure Synapse Analytics
    • Query CSV, JSON, and Parquet files using a serverless SQL pool
    • Create external database objects in a serverless SQL pool
  • Module 3:

Syllabus

  • Module 1: Module 1: Introduction to Azure Synapse Analytics
    • Introduction
    • What is Azure Synapse Analytics
    • How Azure Synapse Analytics works
    • When to use Azure Synapse Analytics
    • Exercise - Explore Azure Synapse Analytics
    • Knowledge check
    • Summary
  • Module 2: Module 2: Use Azure Synapse serverless SQL pool to query files in a data lake
    • Introduction
    • Understand Azure Synapse serverless SQL pool capabilities and use cases
    • Query files using a serverless SQL pool
    • Create external database objects
    • Exercise - Query files using a serverless SQL pool
    • Knowledge check
    • Summary
  • Module 3: Module 3: Analyze data with Apache Spark in Azure Synapse Analytics
    • Introduction
    • Get to know Apache Spark
    • Use Spark in Azure Synapse Analytics
    • Analyze data with Spark
    • Visualize data with Spark
    • Exercise - Analyze data with Spark
    • Knowledge check
    • Summary
  • Module 4: Module 4: Analyze data in a relational data warehouse
    • Introduction
    • Design a data warehouse schema
    • Create data warehouse tables
    • Load data warehouse tables
    • Query a data warehouse
    • Exercise - Explore a data warehouse
    • Knowledge check
    • Summary

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