Show HN: Norma – build good datasets (using an objective)
My team has worked for F500s, startups, and everything in between.In every case, we found it almost impossible to assemble an ideal dataset for training models. In real-world systems, the information you actually need is scattered across 30–300+ tables, stored in different warehouses, parquets, CSVs, and legacy DBs that nobody fully understands anymore.We realized the real job isn’t ETL (too...