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Model, query, and explore data in Azure Synapse

Offered By: Microsoft via Microsoft Learn

Tags

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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