In a data warehousing project with complex transformations, which would be more suitable: Hive with custom UDFs or Impala? Explain.
- Hive with Custom UDFs
- Impala
- Pig
- Sqoop
In a data warehousing project with complex transformations, Hive with custom UDFs would be more suitable. Hive, with its extensibility through custom User-Defined Functions (UDFs), allows for the implementation of complex transformations on the data, making it a better choice for scenarios requiring custom processing logic.
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