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In the context of a Data Lake and Analytics (DLT) pipeline within Microsoft Azure, consider a scenario where a company is processing large volumes of raw data from various sources. The data needs to be cleaned, enriched, and transformed into a structured format for analytics. The company is also concerned about minimizing costs while ensuring the pipeline can scale to handle increasing data volumes. Given these constraints, what is the primary purpose of the transformation step in the pipeline? Choose the best option from the following:
A
To act as a temporary storage for raw data before it is processed.
B
To serve as the final storage location for processed data ready for analytics.
C
To apply business rules, clean, enrich, and convert data into a structured format suitable for analysis.
D
To provide a user interface for visualizing the processed data.