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In a stream processing solution, you need to process data across multiple partitions. How would you approach this task to ensure efficient and accurate processing?
A
Use a single partition to process all the data and ignore the partitioning.
B
Distribute the data across multiple partitions and process each partition independently.
C
Use a distributed processing framework like Spark to process the data across multiple partitions.
D
Use a distributed processing framework like Spark to process the data across multiple partitions and handle schema drift.
