Implement a dataflow that focuses solely on basic transformations like filtering and sorting, to minimize processing costs.

Develop a dataflow that enriches the dataset by joining it with external data sources, such as product details and customer demographics, without considering the impact on scalability.

Design a dataflow that performs advanced data processing techniques, such as aggregations and windowing, but overlooks the importance of data privacy compliance.

Construct a dataflow that integrates multiple transformation and enrichment techniques, including filtering, joining, aggregations, and windowing, while ensuring scalability, cost efficiency, and compliance with data privacy standards.