Design a single, monolithic data pipeline that attempts to process all data frequencies uniformly, disregarding the specific requirements of each data source.

Develop a modular data pipeline with distinct processing modules, each optimized for a specific data frequency, allowing for flexible scaling and cost management.

Preprocess all incoming data to a uniform frequency using dataflows before pipeline processing, potentially increasing latency and processing costs.

Create separate data pipelines for each data frequency and manually merge the results, leading to increased complexity and maintenance overhead.