How can parallel processing be utilized in ETL optimization?
- Distributing tasks across multiple nodes
- Performing tasks sequentially on a single node
- Serializing data processing
- Splitting data into smaller chunks for simultaneous processing
Parallel processing in ETL optimization involves distributing tasks across multiple nodes or cores, enabling simultaneous processing and faster execution of ETL jobs, thus improving overall performance.
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