How does Apache Hive optimize data transformation tasks in Hadoop?
- Indexing
- Partitioning
- Query Optimization
- Replication
Apache Hive optimizes data transformation tasks through query optimization. It employs techniques such as predicate pushdown, map-side joins, and dynamic partition pruning to enhance query performance and reduce the amount of data processed. This optimization improves the efficiency of data processing in Hive.
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