In this challenge, you will optimize an Azure data factory that supports a data pipeline to transform data. First, you will create a storage account that uses a Data Lake Storage hierarchical namespace, and then you will design a batch processing solution. Next, you will run a performance benchmark to optimize and ingest data for a data lake. Finally, you will deploy an Azure data factory, and then you will create a data pipeline that will transform data into blob data files. Note: Once you begin the challenge lab, you will not be able to pause, save, or exit and then return to your challenge lab. Please ensure that you have set aside enough time to complete the challenge lab before you start.
Learning Objectives
In this challenge, you will optimize an Azure data factory that supports a data pipeline to transform data. First, you will create a storage account that uses a Data Lake Storage hierarchical namespace, and then you will design a batch processing solution. Next, you will run a performance benchmark to optimize and ingest data for a data lake. Finally, you will deploy an Azure data factory, and then you will create a data pipeline that will transform data into blob data files. Note: Once you begin the challenge lab, you will not be able to pause, save, or exit and then return to your challenge lab. Please ensure that you have set aside enough time to complete the challenge lab before you start.