Report

Once you’ve identified or created a report that satisfies your needs, it’s time to generate output. Report output is stored in report files, which can be retrieved and manipulated programmatically. A report file is produced as the result of running a report.

The Report pipeline can be used to request and retrieve details about your report file. Read more about this here

Configuring the Credentials

Select the account credentials which has access to relevant Criteo data from the dropdown menu & Click Next

Credentials not listed in dropdown ?

Click on + Add New for adding new credentials

Data Pipelines Details

Data Pipeline

Select Report from the dropdown

Profile

Select a profile from the drop-down

All profiles which your credentials have access to should be available here. If they are not, please check the credentials selected / configured by you.
Report

Select the report that you would like to fetch from the DCM platform. You can click on View Schema anytime to see the schema of the table being created.

Setting Parameters

Parameter Description Values

Delete or Append

Required

This refers to the manner in which data will get updated in the data warehouse, with 'Delete' selected, the data will be upserted (only new records or records with changes) and with 'Append' selected, all data fetched will be inserted. Recommended to use "Delete" option unless there is a specific requirement.

{Delete, Append}

Default Value: Delete

Datapipeline Scheduling

Scheduling specifies the frequency with which data will get updated in the data warehouse. You can choose between Manual Run, Normal Scheduling or Advance Scheduling.

Manual Run

If scheduling is not required, you can use the toggle to run the pipeline manually.

Normal Scheduling

Use the dropdown to select an interval-based hourly, monthly, weekly, or daily frequency.

Advance Scheduling

Set schedules fine-grained at the level of Months, Days, Hours, and Minutes.

Detailed explanation on scheduling of pipelines can be found here

Dataset & Name

Dataset Name

Key in the Dataset Name(also serves as the table name in your data warehouse).Keep in mind, that the name should be unique across the account and the data source. Special characters (except underscore _) and blank spaces are not allowed. It is best to follow a consistent naming scheme for future search to locate the tables.

Dataset Description

Enter a short description (optional) describing the dataset being fetched by this particular pipeline.

Notifications

Choose the events for which you’d like to be notified: whether "ERROR ONLY" or "ERROR AND SUCCESS".

Once you have finished click on Finish to save it. Read more about naming and saving your pipelines including the option to save them as templates here

Still have Questions?

We’ll be happy to help you with any questions you might have! Send us an email at info@datachannel.co.

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