About the Data Engine

Updated 

Sprinklr's Data Engine merges data from multiple sources into a pipeline that transforms the combined data into a single report. This allows organizations to capture all the data that streams into their businesses more efficiently than ever before. 

How to access Data Pipelines

  1. Within the Sprinklr platform, under Sprinklr Social you can select Data Pipeline

  2. Manage your various Pipelines under a single roof using the Pipeline manager

    • Create Normal Pipeline

    • Create Live Dataset Pipeline

    • Quick Filters: Quickly filter Pipelines based on pipeline types - Normal Pipeline or Live Dataset Pipeline. Revert to an unfiltered view of all Pipelines by clicking All Pipelines

    • View: View the Pipeline.

    • Deactivate and Edit (Only for Active Pipelines): In order to edit a Pipeline, you must first deactivate it. 

    • Edit (Only for Draft/Stopped Pipelines): Edit a Pipeline. As the Pipeline is in Draft/Stopped status, it is not required to deactivate the Pipeline.

    • Run History: Review the history of pipeline executions in the third pane to examine the processing statistics for each run. This includes details such as

      The user who initiated the pipeline

      Names of source files

      Execution status (Success/Failure)

      The date of the last run

      Record count

      A link to download for failure explanations in the case of execution failure, and

      A link to download the output file (Status Report File) in the case of execution success with the total count of failed and success records.

    • Clone(Only for Draft/Stopped Pipelines): Make a copy of the Pipeline.

    • Share: Share the Pipeline across Workspaces or with other users within the platform.

    • Delete: Delete the Pipeline permanently.