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ADF Azure Data Factory connector (preview)

This article describes the Azure Data Factory connector for DataGalaxy.

This connector is available in preview, you can open a request through a support ticket if you want to test it. The Preview mode means that the connector has not been tested in a real environment, representative of what our customers use, so we offer the possibility to test it to get feedbacks and bring adjustments if necessary before its general availability.

Presentation of the connector

ADF connector aims to get lineage around ADF factories. In this preview, the activities supported are the Data flows and the file copy activities. Depending on how those activities are used, the lineage can be retrieved at table or column level.

This connector leverages the URN mode, meaning it will create or link objects in the dictionary in their own technology, without the Dataset abstraction layer offered by ADF. Only the objects of the Data Processing module will be created with the ADF technology in DataGalaxy.

This table describes the objects and attributes retrieved and their mapping in the DataGalaxy metamodel:

Objet ADFModule DataGalaxyObjet DataGalaxyAttributs DataGalaxyCommentaires
FactoryData ProcessingData flow
Data flowData ProcessingData processing

Copy activityData ProcessingData processing
Table/ViewDictionaryTable/View
In its own technology
ColumnDictionaryColumn
In its own technology
FolderDictionaryFolder
In its own technology
FileDictionaryFile
In its own technology

Known limitations of the preview version

Supported technologies

The technologies of data storage currently supported in this preview are:

  • Azure Data Lake Gen2
  • Azure SQL
  • MySQL

If you use other technologies than those ones, it will require evolutions on the connector.

Parsing of ADF components

  • Datasets defined in Legacy mode (using a connection string) are not supported.

Known issues of the preview version

If you have some datasets on Azure Data Lake Gen2, you might encounter an issue during the import. The current workaround is to create a new technology in your DataGalaxy platform, with the code adls2

Step 1: Installation

  • Download DataGalaxy connector from the portal (see here)
  • Extract the connector archive in the directory of your choice
  • Copy the ADF plugin into the /lib directory of the connector

Step 2: Execution of ADF connector

  • After starting the connector, access Dictionary or Processing type connectors 
  • If it has been correctly installed, the ADF plug-in appears in the list
  • The following information is requested: 
ParamètreObligatoireDescription
Subscription IDOuiAzure subscription
Tenant IDOuiEntra ID Tenant
Resource group nameOuiName of resource group containing factories
Client IDOuiEntra ID Client
Client secretOuiEntra ID Client Secret
API VersionOuiCurrently 2018-06-01

Technical informations

ADF connector is built on Azure REST API.

Releases

DatePlugin
Version
DataGalaxy
release
Desktop Connector
version (minimum)
Description
15/11/20240.0.1a9 previewN/A5.0.4Adding support of Copy activities
30/07/20240.0.1a9  previewN/A5.0.4First preview version

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