What is the Aggregator?
An introduction to the Aggregator extension, which summarises the data in any platform service and turns the summary into a scheduled, emailed report
How the Aggregator works
Services and sources, pipeline stages, date placeholders, how values are read, and what the Aggregator saves
Building an aggregation
A step by step walk-through that builds an aggregation of the day's dataset deliveries, runs it and saves it
Running an aggregation from code
Copy an aggregation as ODSL, curl, Python or JavaScript, so scripts, notebooks and other systems can run it
Creating a report
A step by step walk-through that turns a saved aggregation into a report stored for each date and shown in the house style
Schedule and email
Run an Aggregator report on a schedule and email each stored date with the platform's email automation
The Aggregator tab on the Reports screen
See an Aggregator report's aggregation, schedule, email and stored dates from the Reports screen, and open the workspace to change them
Aggregator examples
The example aggregations you can start from, and the stages each one shows
Aggregator reference
Where the Aggregator saves aggregations, reports, templates and emails, what the extension contains, and troubleshooting