TLDR Tech / Data
Lakehouse statistics and why query engines get lost
Lakehouse query engines often struggle because the statistical metadata they need to plan queries, skip irrelevant data, size joins, and handle skew is optional, inconsistent, or missing across formats like Iceberg, Delta Lake, and Parquet. Without reliable stats, engines are forced to guess, leading to bad query plans, wasted reads, higher costs, memory issues, and slow or failed queries.
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