The process of breaking down data into smaller chunks and processing them individually in a streaming pipeline is known as ________.
- Data aggregation
- Data normalization
- Data partitioning
- Data serialization
Data partitioning is the process of breaking down large datasets into smaller chunks, often based on key attributes, to distribute processing tasks across multiple nodes in a streaming pipeline. This approach enables parallel processing, improves scalability, and facilitates efficient utilization of computing resources in real-time data processing scenarios.
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