Scenario: A financial institution needs to maintain a vast amount of transaction records while ensuring fast access to recent data. How would you implement partitioning to optimize data retrieval and storage?
- Partitioning based on account numbers
- Partitioning based on transaction dates
- Partitioning based on transaction types
- Randomized partitioning
Partitioning based on transaction dates is a recommended strategy in this scenario. It allows for segregating data based on time, making it easier to manage and retrieve recent transactions quickly. This enhances query performance and ensures that the most relevant data is readily accessible.
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