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Data Flows List and Groups (New interface)

The Data Flows List and Groups tabs enable you to efficiently manage and organize Data Flows and Data Flow Groups within Data Integration.

Data Flows list

The Data Flows List tab is the primary area for creating, viewing, and managing all your Data Flows.

You can find specific Data Flows using search parameters:

  • Data Flow Name
  • Source Name
  • Target Name
  • Data Flow ID
  • Target Table Name (Applicable for Source to Target Multi-Table mode Data Flows and Predefined Reports Data Flows)
  • Connection Name.

Filtering options

Use filters to narrow down Data Flows and streamline navigation when dealing with Data Flows. You can filter Data Flows based on:

  • Data Flow Type: You can select "Source to Target", "Logic Flow", or "REST Action".
  • Data Flow Group: Select from available groups.
  • Scheduled: Select "Scheduled" or "Unscheduled".
  • Status: Select Active, Disabled, or Suspended — this option is available only for Data Flows in the new interface. Data Flows in the Classic view are always "Active" by default.

Table columns

The table displays the following columns for each Data Flow: Name, Group, Scheduled, Modified By, Last Modified, Interface, and Status.

Status definitions

  • Active: The Data Flow is enabled and runs according to its schedule or when triggered by another data flow or process.
  • Disabled: The Data Flow is manually disabled and does not run until you enable it again.
  • Suspended: The Data Flow is automatically suspended after failing to run successfully for seven consecutive days. A yellow Suspended badge appears in the Status column, and the Data Flow does not run again until it is manually re-enabled.

Quick actions

Duplicate or Delete: Click the three-dot menu next to each Data Flow to duplicate or delete it.

Creating a new Data Flow

You can create a new Data Flow directly from the Data Flows list page.

Procedure

  1. Click + Add Data Flow in the upper-right corner of the menu.
  2. Choose the Data Flow type you want to create:
    • Source to Target Flow: Extract and load data from any source into a target data warehouse or destination.
    • Logic Flow: Transform data using SQL and Python and orchestrate automated data workflows.
    • Build Your Own: Create a custom REST connection using the AI Data Connector Agent or an REST Action for low-code API integration.
  3. Configure the Data Flow based on your requirements.
  4. Click Save to add the Data Flow to the list.

Groups

The Groups tab lets you create and organize Data Flow Groups, helping you categorize and manage your Data Flows.

Procedure

  1. Click + New Group to create a new Data Flow Group.
  2. Enter a name and relevant details.
    When setting up a group, you can select a color or icon to differentiate it visually and set it as the default group if needed.
important

While you can create new Groups, you cannot add Data Flows directly to a Group here.
To assign a Data Flow to a Group:

  • Select a specific Data Flow.
  • Select the desired Group from the top-left corner of the Data Flow’s configuration page.

Quick actions

Click the three-dot menu next to each Group and do one of the following:

  • Edit Group: Update the group name, icon, or color.
  • Delete Group: To delete and permanently remove the group.
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