Implementation of DeepDB: Learn from Data, not from Queries!
PromSketch: Approximation-First Timeseries Query at Scale
ML-AQP reproducibiltiy repository
DBEst, the model-based Approximate Query Processing engine
Sketches are probabilistic data structures used in computing and data engineering to approximate answers to queries over large data streams with controlled error bounds and dramatically reduced memory requirements.
Approximate query processing engine with FastAPI + DuckDB supporting CSV ingestion, sampling-based analytics, and exact vs approximate query comparison
Add a description, image, and links to the approximate-query-processing topic page so that developers can more easily learn about it.
To associate your repository with the approximate-query-processing topic, visit your repo's landing page and select "manage topics."