In the context of large data sets, what does the term "data partitioning" refer to?
- Deleting unnecessary data
- Dividing the data into smaller, manageable chunks distributed across multiple nodes
- Encrypting the data to ensure security
- Storing data in a single, centralized location
Data partitioning involves dividing the data into smaller, manageable chunks distributed across multiple nodes in a distributed system. This allows for parallel processing and efficient utilization of resources, enabling better performance and scalability when dealing with large data sets.
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