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In a stream processing solution, you need to process data from multiple sources with different data formats. How would you approach this task to ensure efficient and accurate processing?
A
Convert all the data to a single format before processing.
B
Process each data source independently using a specific processing approach for each format.
C
Use a distributed processing framework like Spark to process the data from multiple sources with different formats.
D
Use a distributed processing framework like Spark to process the data from multiple sources with different formats and handle schema drift.
