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Change is hard.
But it’s necessary.
In this Data Engineering episode, you'll learn:
* Hive tracks data as folders, Iceberg tracks data as files
* How this key distinction enables Iceberg with powerful metadata operations
* What a data lakehouse is in Data Engineering
* Iceberg’s schema evolution, partition evolution, and better query pruning
Change is hard.
But it’s necessary.
In this Data Engineering episode, you'll learn:
* Hive tracks data as folders, Iceberg tracks data as files
* How this key distinction enables Iceberg with powerful metadata operations
* What a data lakehouse is in Data Engineering
* Iceberg’s schema evolution, partition evolution, and better query pruning