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Can You Optimize a Batch Processing Solution by Using Azure Data Factory and Azure Data Lake?

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Part of Azure Data Storage Monitor and Optimize Topic: Azure

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What you'll do

In this challenge, you will optimize an Azure data factory that supports a data pipeline to transform data.

  1. Create a storage account that uses a Data Lake Storage hierarchical namespace
  2. Design a batch processing solution
  3. Run a performance benchmark to optimize and ingest data for a data lake
  4. Deploy an Azure data factory
  5. Create a data pipeline that will transform data into blob data files

Note: Once you begin the lab, you will not be able to pause, save, or exit and then return to your lab. Please ensure that you have set aside enough time to complete the lab before you start.

  • ⏱ About 45 minutes