> ## Documentation Index > Fetch the complete documentation index at: https://domoinc-openapi-sync-dataflows.mintlify.site/llms.txt > Use this file to discover all available pages before exploring further. # Microsoft Azure Data Factory Connector ## Intro Microsoft Azure Data Factory is a cloud-based data integration service that orchestrates and automates the movement and transformation of data. The Domo Azure Data Factory connector gives you access to data about activity and pipeline runs, datasets, operations, pipelines, and triggers. To learn more about the Data Factory API, visit their page ([https://docs.microsoft.com/en-us/azure/data-factory/](https://docs.microsoft.com/en-us/azure/data-factory/ "https://docs.microsoft.com/en-us/azure/data-factory/") ). You connect to your Data Factory account in the Data Center. This topic discusses the fields and menus that are specific to the Data Factory connector user interface. General information for adding DataSets, setting update schedules, and editing DataSet information is discussed in [Adding a DataSet Using a Data Connector](/s/article/360042926274 "Adding a DataSet Using a Data Connector"). ## Prerequisites To connect to your Data Factory account and create a DataSet, you must have the following: * A Microsoft Azure Data Factory tenant ID * A Microsoft Azure Data Factory client ID * A Microsoft Azure Data Factory client secret To obtain credentials, please reach out to your Microsoft Azure Data Factory account representative. ## Connecting to Your Data Factory Account This section enumerates the options in the **Credentials** and **Details** panes in the Data Factory Connector page. The components of the other panes in this page, **Scheduling** and **Name & Describe Your DataSet**, are universal across most connector types and are discussed in greater length in [Adding a DataSet Using a Data Connector](/s/article/360042926274 "Adding a DataSet Using a Data Connector"). ### Credentials Pane This pane contains fields for entering credentials to connect to your Data Factory account. The following table describes what is needed for each field:

Field	Description
Tenant ID	Enter your Microsoft Azure Data Factory tenant ID.
Client ID	Enter your Microsoft Azure Data Factory client ID.
Client Secret	Enter your Microsoft Azure Data Factory client secret.

Once you have entered valid Data Factory credentials, you can use the same account any time you go to create a new Data Factory DataSet. You can manage connector accounts in the **Accounts** tab in the Data Center. For more information about this tab, see [Managing User Accounts for Connectors](/s/article/360042926054 "Managing User Accounts for Connectors"). ### Details Pane This pane contains a primary **Reports** menu, along with various other menus which may or may not appear depending on the report type you select.

Description

Report

Select the Data Factory report you want to run. The following reports are available:

Activity Runs	Returns a list of activity runs.
Datasets	Returns a list of datasets.
Factories	Returns a list of factories under subscription.
Factories by Resource Group	Returns a list of factories, broken down by resource group.
Integration Runtimes	Returns a list of integration runtimes.
Linked Services	Returns a list of linked services.
Operations	Returns a list of available Azure Data Factory API operations.
Pipeline Runs	Returns a list of pipeline runs.
Pipelines	Returns a list of pipelines.
Trigger Runs	Returns a list of trigger runs.
Triggers	Returns a list of triggers.

Subscription ID

Enter the ID of the subscription you want to return data for.

Resource Group Name

Enter the resource group name you want to return data for.

Factory Name

Select the factory you want to return data for.

Trigger Name

Select the trigger you want to return data for.

Run ID

Enter the run ID you want to return data for.

Date Type

Select whether you want to pull data for a specific date or a date range.

Date

Select whether the report data is for a specific date or for a relative number of days back from today.

Date Picker

Select the date for the report.

Date Offset

Enter the number of past days that should appear in the report.

Date From

Specify whether the first date in your date range is a specific or relative date. You select the last date in your range in Date To .

Date To

Specify whether the second date in your date range is a specific or relative date. You select the first date in your range in Date From .

Date From Picker

Select the first date in your date range.

Date To Picker

Select the second date in your date range.

Date From Offset

Enter the number of the farthest day back that should be represented in the report. Combine with Date To Offset to create a range of represented days.

For example, if you entered 10 for Date From Offset and 5 for Date To Offset , the report would contain data for 10 days ago up until 5 days ago.

Date To Offset

Enter the number of the most recent day back that should be represented in the report. Combine with Date From Offset to create a range of represented days.

For example, if you entered 10 for Date From Offset and 5 for Date To Offset , the report would contain data for 10 days ago up until 5 days ago.

### Other Panes For information about the remaining sections of the connector interface, including how to configure scheduling, retry, and update options, see [Adding a DataSet Using a Data Connector](/s/article/360042926274 "Adding a DataSet Using a Data Connector").