Scenario: A large e-commerce platform is experiencing rapid growth in its customer base. As a database administrator, how would you utilize partitioning to handle the increasing data volume?
- No need for partitioning in this scenario
- Partitioning based on customer demographics
- Partitioning based on date ranges
- Partitioning based on product categories
In this scenario, partitioning based on date ranges is a suitable strategy. It allows for the efficient management of historical data, making it easier to archive or delete older records while ensuring quick access to recent data. This helps in optimizing performance and maintenance in a rapidly growing database.
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