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Optimizing Azure Data Factory Jobs

In this hands-on lab scenario, you are a data engineer for Awesome Company. Previously you created an Azure Data Factory pipeline to copy sales data to an archive database. Lately reports have come in that this ADF job is taking a long time to run. Your task is to evaluate the job and implement optimizations in order to improve performance. Performing the actions of this hands-on lab will help you become familiar with optimizing various parts of Azure Data Factory jobs.

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Path Info

Clock icon Intermediate
Clock icon 15m
Clock icon Jun 04, 2021

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Table of Contents

  1. Challenge

    Optimize the Source

    1. Configure your Azure SQL Database source so that it provides the fastest performance and prevents any database locks.
  2. Challenge

    Optimize the Compute Resources

    1. Awesome Company has noticed a lot of out-of-memory errors and latency when performing joins. Optimize the compute resources to account for this.
  3. Challenge

    Optimize the Sink

    1. The existence of indexes are causing the pipeline to perform slower. Alter the sink so that the table's indexes will not cause extra overhead.

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We will provide the credentials and environment necessary for you to practice right within your browser.

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Follow along with the author’s guided walkthrough and build something new in your provided environment!

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