Implementation of DeepDB: Learn from Data, not from Queries!
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Updated
Dec 8, 2022 - Python
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
Approximate query processing engine with FastAPI + DuckDB supporting CSV ingestion, sampling-based analytics, and exact vs approximate query comparison
Calibrated adaptive graph COUNT sampling on Neo4j; reproducible precision/cost experiments and LDBC SNB reference validation.
Sketches — independent third-party profile of a public API surface, by API Evangelist. 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.
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