Data Engineering on Microsoft Azure: Stream Analytics

Azure 2021    |    Intermediate
  • 10 videos | 1h 12m 29s
  • Includes Assessment
  • Earns a Badge
Likes 31 Likes 31
Azure Stream Analytics is a complex, serverless, and highly scalable processing engine that can be used to perform real-time analytics on multiple data streams. Alerts can be configured to forecast trends, trigger workflows, and detect irregularities. In this course, you'll learn to use Azure Stream Analytics to process streaming data. You'll examine how to implement security, create user-defined functions, and optimize jobs for Azure Stream Analytics, as well as explore the available inputs and outputs. Finally, you'll learn how to create an Azure Stream Analytics job, create an Azure Stream Analytics dedicated cluster, run Azure Functions from Azure Stream Analytics jobs, and monitor Azure Stream Analytics jobs. This course is one in a collection that prepares learners for the Microsoft Data Engineering on Microsoft Azure (DP-203) exam.

WHAT YOU WILL LEARN

  • discover the key concepts covered in this course
    describe how Azure Stream Analytics is used to process streaming data
    describe the available inputs that can be used with Azure Stream Analytics
    describe the available outputs that can be used with Azure Stream Analytics
    describe how to create user-defined functions for Azure Stream Analytics
  • process data by using Spark structured streaming
    describe how to use Stream Analytics windowing functions
    set up and process time series data
    create a Stream Analytics job by using the Azure portal
    summarize the key concepts covered in this course

IN THIS COURSE

  • 1m 46s
  • 5m 54s
    8b756ed6-444f-48b5-a93e-d077a4a3fd52 FREE ACCESS
  • Locked
    3.  Azure Stream Analytics Inputs
    5m 44s
    3330f0b6-c4ca-4d13-b8af-7f7b03793efe FREE ACCESS
  • Locked
    4.  Azure Stream Analytics Outputs
    7m 48s
    95c2da82-b65f-4165-a083-0bb2601b3091 FREE ACCESS
  • Locked
    5.  Azure Stream Analytics User-defined Functions
    7m 35s
    4a0fdafe-c503-4559-9029-182297a0bf34 FREE ACCESS
  • Locked
    6.  Processing Data by Using Spark Structured Streaming
    10m 41s
    83db9916-e6c4-4fe8-aa5c-7e76a296484e FREE ACCESS
  • Locked
    7.  Stream Analytics Windowing Functions
    5m 28s
    731c4a8f-6bc1-4ed6-bcf9-c7aadff8ef52 FREE ACCESS
  • Locked
    8.  Setting Up and Processing Time Series Data
    15m 30s
    70642bf9-5976-4e93-855c-f58d9f6f1982 FREE ACCESS
  • Locked
    9.  Creating a Stream Analytics Job
    11m 10s
    c918435f-791c-40c8-9386-c6fa1b4c304a FREE ACCESS
  • Locked
    10.  Course Summary
    53s
    b55be661-07cb-49d6-857a-93ab47627e59 FREE ACCESS

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