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In a streaming workload scenario, you are required to process real-time data from social media feeds. The data includes text, user information, and timestamp. What partition strategy would you implement to handle the high volume and velocity of this data effectively?
A
Partition by user ID and timestamp
B
Partition by text length and sentiment
C
Partition by language and timestamp
D
Partition by topic and timestamp