snapshot-aggregation

Compress time-series data into daily snapshots by merging raw event data, predictions, and statistics into a structured DailySnapshot interface using TypeScript, which retains essential historical information while minimizing storage volume.

Merging time-series data from multiple pipeline runs requires specific merge logic to ensure later runs correctly update without overwriting previous daily snapshots, facilitating structured aggregation for historical dashboards and reporting.

Storage estimation for compressed time-series snapshots calculates capacity requirements by evaluating the volume reduction achieved through daily aggregation, providing insights for capacity planning when raw event data becomes too large for direct queries.

Yes, you can use TypeScript to generate daily snapshots by processing raw event data, predictions, and statistics into a structured DailySnapshot interface, handling the compression and aggregation logic efficiently for dashboard integration.

Daily snapshot aggregation is needed when raw event data becomes too large for direct queries, allowing you to retain essential information for historical analysis and reporting while using minimal storage.