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Azure Data Lake Storage Gen2

Export lets you extract data from the Lakehouse and load it into Azure Data Lake Storage Gen2

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Step 01 - Add export​

  • Click on Add export on the left top corner of the screen.
    • Enter a Name. (Name starts with a letter and only Letters and Numbers are allowed. No Spcaes)
    • Display name (which displays the name in the UI of the export saved).
    • Select credentials:
      • Select from existing
      • Create new

Step 02 - Select from existing​

In order to allow Skypoint access to your Azure Data Lake Storage Gen2 account, you'll need the following details: -Select Dataflow

  • Account Name (Check with Microsoft for Azure Data Lake Storage Gen2 credentials.)
  • Account key
  • Container
  • TenantID
  • AppID
  • AppKey
  • Click Next Button.

Step 02 - Select from new​

In order to allow Skypoint access to your Azure Data Lake Storage Gen2 account, you'll need the following details:

  • Account Name (Check with Microsoft for Azure Data Lake Storage Gen2 credentials.)
  • Account key
  • Container
  • TenantID
  • AppID
  • AppKey
  • Click Next Button.

Step 03 - Entities to export​

Here all the Lakehouse data will be available Entity wise.

  • Select the entities from the list to be exported
  • Click Create and then click on three dot button and select Run.
    • The export will be started.

Step 04 - Download Exported Data​

The data gets exported in the form of csv file/s that gets stored in the storage account under the specified container with the same name as the export name. To access those files, follow the steps.

  • Open Mircosoft Azure Storage Explorer and go the storage account selected in the second step during export.
  • Navigate to the selected container and click on it.
  • You will see a folder named export-entity. Double click to open the folder and you will see the exported csv file/s there.
  • Double click on the csv files you want to download and the download will start.