Duration

4 days.

Prerequisites

Successful students start this course with knowledge of cloud computing and core data concepts and professional experience with data solutions.
Specifically completing:

  • AZ-900 - Azure Fundamentals
  • DP-900 - Microsoft Azure Data Fundamentals

    Skills Gained

    After completing this course, students will be able to:

    • Explore compute and storage options for data engineering workloads in Azure
    • Run interactive queries using serverless SQL pools
    • Perform data Exploration and Transformation in Azure Databricks
    • Explore, transform, and load data into the Data Warehouse using Apache Spark
    • Ingest and load Data into the Data Warehouse
    • Transform Data with Azure Data Factory or Azure Synapse Pipelines
    • Integrate Data from Notebooks with Azure Data Factory or Azure Synapse Pipelines
    • Support Hybrid Transactional Analytical Processing (HTAP) with Azure Synapse Link
    • Perform end-to-end security with Azure Synapse Analytics
    • Perform real-time Stream Processing with Stream Analytics
    • Create a Stream Processing Solution with Event Hubs and Azure Databricks

      Who Can Benefit?

      The primary audience for this course is data professionals, data architects, and business intelligence professionals who want to learn about data engineering and building analytical solutions using data platform technologies that exist on Microsoft Azure.The secondary audience for this course data analysts and data scientists who work with analytical solutions built on Microsoft Azure.

        Outline for Data Engineering on Microsoft Azure Training

        Outline

        • Introduction to data engineering on Azure
        • Introduction to Azure Data Lake Storage Gen2
        • Introduction to Azure Synapse Analytics
        • Use Azure Synapse serverless SQL pool to query files in a data lake
        • Use Azure Synapse serverless SQL pools to transform data in a data lake
        • Create a lake database in Azure Synapse Analytics
        • Analyze data with Apache Spark in Azure Synapse Analytics
        • Transform data with Spark in Azure Synapse Analytics
        • Use Delta Lake in Azure Synapse Analytics
        • Analyze data in a relational data warehouse
        • Load data into a relational data warehouse
        • Build a data pipeline in Azure Synapse Analytics
        • Use Spark Notebooks in an Azure Synapse Pipeline
        • Plan hybrid transactional and analytical processing using Azure Synapse Analytics
        • Implement Azure Synapse Link with Azure Cosmos DB
        • Implement Azure Synapse Link for SQL
        • Get started with Azure Stream Analytics
        • Ingest streaming data using Azure Stream Analytics and Azure Synapse Analytics
        • Visualize real-time data with Azure Stream Analytics and Power BI
        • Introduction to Microsoft Purview
        • Integrate Microsoft Purview and Azure Synapse Analytics
        • Explore Azure Databricks
        • Use Apache Spark in Azure Databricks
        • Run Azure Databricks Notebooks with Azure Data Factory

          04/30/2024 - 05/03/2024
          09:00 AM - 05:00 PM
          Eastern Standard Time
          Online Virtual Class
          USD $2,380.00
          Enroll
          06/24/2024 - 06/27/2024
          09:00 AM - 05:00 PM
          Eastern Standard Time
          Online Virtual Class
          USD $2,380.00
          Enroll
          07/29/2024 - 08/01/2024
          09:00 AM - 05:00 PM
          Eastern Standard Time
          Online Virtual Class
          USD $2,380.00
          Enroll