Aggregating data
Using ODSL to create aggregation pipelines
Using ODSL to create aggregation pipelines
The example aggregations you can start from, and the stages each one shows
A step by step walk-through that builds an aggregation of the day's dataset deliveries, runs it and saves it
An insight report that filters, aggregates and profiles the events in an event list, or the events behind an event curve or event timeseries
Services and sources, pipeline stages, date placeholders, how values are read, and what the Aggregator saves
Copy an aggregation as ODSL, curl, Python or JavaScript, so scripts, notebooks and other systems can run it
An introduction to the Aggregator extension, which summarises the data in any platform service and turns the summary into a scheduled, emailed report