Explain the relationship between Hive and MapReduce within the Hadoop ecosystem.
- Hive compiles into Tez jobs
- Hive operates independently
- Hive replaces MapReduce
- Hive translates to MR jobs
Hive serves as a bridge between SQL-based querying and Hadoop's MapReduce framework, translating high-level HiveQL queries into low-level MapReduce jobs, thus allowing users to perform complex data processing on large datasets without needing to write MapReduce code directly.
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