Post by Plotono

Data catalogs were a big step forward for data teams. They helped organizations answer questions like: - Where is the data? - Who owns this dataset? - What does this table mean? For years, that was enough. But the data landscape has changed. Today’s environments include: - multi-cloud platforms - real-time pipelines - AI systems - distributed data products And suddenly many teams are realizing something: Their data catalog solves the documentation problem — but not the data coordination problem. Here are 5 signs your catalog may be falling behind: - It’s mostly documentation - Lineage stops at the warehouse - Data quality lives in other tools - It doesn’t support AI workflows - Analysts still ask “where is the data?” The future isn’t just about cataloging data. It’s about building metadata systems that actively power data operations. In this article I break down why metadata platforms are becoming the operational layer of modern data stacks. Would love to hear from other data teams: Is your catalog helping coordinate your data ecosystem or just documenting it?