Part 8/11:
The speaker emphasized that data engineers should think beyond building pipelines—they should aim to create data products aligned with business domains. For instance, rather than providing a generic dataset, a data product might be a dedicated ecosystem for smart campaign analysis or review scoring, tailored for specific business questions.
This approach fosters more targeted insights, reduces the complexity of data consumption, and enables faster decision-making. By collaborating closely with stakeholders, data teams can develop MVP (Minimum Viable Product) datasets, continuously evolving them based on feedback.