Table of Contents

1. Challenge

   Prepare the Environment

   1. Create a Blob Storage account with a Customer Container.

   2. Create an Azure Data Factory instance in the West US region.

   3. Create an SQL Database instance and server in the West US region. It should utilize DTU-based basic tier compute. Make sure to choose sample data as the data source.

2. Challenge

   Create the Data Sources

   1. Create a dataset that connects to the newly created SQL Database.
   2. Connect to the SalesLT.Customer table.
3. Challenge

   Create a Data Flow

   1. Create a data flow with:
      1. Source linked to SalesLT.Customer table.
      2. Sink linked to the newly created data lake (Create the sink as a Parquet file).
         • This will require the creation of a sample container in the newly created Azure Storage account.
   2. Select and create five hash partitions based upon the most appropriate column.
   3. Publish all updates.
4. Challenge

   Create a Data Pipeline

   1. Create a pipeline with your newly created Data Flow activity as the only activity.
   2. Validate and Publish this pipeline.
   3. Run the pipeline using the Trigger Now option.
   4. Check that the partitions were created successfully.