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In this chapter, learn how to set up an Apache Iceberg lakehouse and model data with hidden partitioning so your queries skip the files they don't need.
In this chapter, learn how to migrate existing data into Iceberg and safely evolve schemas and partitions using Git-like workflows such as Write-Audit-Publish, branching, and tagging.
In this final chapter, learn how to keep production Iceberg tables fast at scale through smart write strategies, safe concurrency, and maintenance operations like compaction and snapshot expiration.
現在の演習