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In the context of designing a Data Lake and Analytics (DLT) pipeline on Microsoft Azure, consider a scenario where a company needs to ingest large volumes of raw data from various sources for future processing and analysis. The company emphasizes cost-effectiveness, scalability, and compliance with data governance policies. Given these requirements, what is the primary purpose of the 'source' component in the DLT pipeline? Choose the best option from the following:
A
To serve as the final storage for processed and analyzed data, enabling direct querying and reporting.
B
To act as the initial storage layer for raw, unprocessed data collected from various sources, ensuring scalability and cost-efficiency.
C
To transform and process the raw data into a structured format suitable for analytics and visualization tools.
D
To provide a user interface for data visualization and exploration, facilitating insights generation.