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Vladimir Ozerov
Company: Querify Labs
Talk type: Talk
The speaker will cover the implementation and practical use of key optimizations that allow Trino and related commercial products to quickly "grind" data from your lake: using Parquet and ORC metadata to reduce the amount of read-out data (project/filter/aggregate pushdown), dynamic filtering (runtime filtering), late materialization of columns (late materialization), and as many as three local caches: metadata cache, data cache and intermediate query results cache.
Company: Querify Labs