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Probabilistic data sketches for distinct counting with integrated privacy protections.
Distinct from Cardinality Estimation: Distinct from general cardinality estimation: focuses on privacy-preserving approximate counting.
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Presto is a distributed SQL query engine designed for high-performance analytical processing across heterogeneous data sources. It functions as a data federation platform and massively parallel processing engine, allowing users to execute interactive queries against diverse storage systems without requiring data migration. By mapping remote metadata and structures to a unified relational namespace, it enables seamless cross-platform analysis through a standard SQL interface. The engine distinguishes itself through a pluggable connector architecture and a shared-nothing distributed processing
Generates probabilistic sketches for approximate distinct counts with privacy protections.