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BigQuery to Databricks: A Strategic Framework for Modern Migration

A phased migration framework for moving from BigQuery to Databricks Lakehouse, covering three pillars: Process, Technology, and People. The Process pillar recommends wave-based migration over big-bang cutovers, using dual-operation patterns with Lakehouse Federation. The Technology pillar covers data migration via Parquet exports, SQL transpilation with Lakebridge, and three-level validation (completeness, consistency, accuracy). The People pillar addresses breaking analyst/data scientist silos through shared notebooks, Genie for natural language queries, and structured training. Unity Catalog provides governance continuity by mapping BigQuery's project/dataset/table hierarchy and preserving row-level and column-level security during migration.

    #data-engineering#databricks#google-bigquery
Today•8m read time•From databricks.com
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Migration as a strategic evolutionProcess: The migration journey and governance evolutionTechnology: building the open foundationPeople: Organizing the Modern Data + AI teamLessons from the fieldConclusion
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