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Answer: Partition by user ID and transaction date
Partitioning by user ID and transaction date allows for efficient tracking of individual user transactions, which is crucial for detecting patterns indicative of fraud. This strategy also supports real-time analysis by grouping transactions by time.
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You are working with a financial services company that needs to analyze large volumes of transaction data for fraud detection. The data includes transaction details, user profiles, and timestamps. What partition strategy would you implement to optimize the performance of fraud detection algorithms?
A
Partition by user ID and transaction date
B
Partition by transaction type and amount
C
Partition by geographical region and transaction date
D
Partition by transaction date and time
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