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Iceberg,
CEO,
metadata

Lakehouse Statistics II: Range metadata

Range metadata is to lakehouses as aisle signs are to supermarkets: Without the aisle signs, it would take shoppers forever to find the items they need.
by·
Performance,
Databricks,
Query Planning,
Spark
Why Spark joins are expensive - and what to do about it
Spark joins are often considered expensive - leading users to prefer highly denormalised data models on Spark. Let us fact check this!
by·
Engineering,
AI Agents,
Databricks
Databricks EXPLAIN ANALYSE
Extracting EXPLAIN ANALYSE from Databricks is hard - but doable. This blog describes how.
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