How to Build a Data Product that Won’t Come Back to Haunt You

When data science meets production engineering

Think back to a time when you were asked to turn your data science analysis into a repeatable, supported report or dashboard that fits in with your company’s production data pipelines and data architecture. Perhaps you previously conducted prototype analysis and the solution was informative and working well, so your boss asked you to put it into production. Perhaps you found yourself constantly re-extracting data for the same type of …

data data engineering data product data science editors pick notes-from-industry product productivity