data ops 7

https://realtimeproductiondataedge.valiantfield.com/posts/why-real-time-production-data-demands-a-unified-namespace

Data ops, or data operations, is the practice of managing data pipelines and infrastructure to ensure data flows reliably from source to analysis. It's about automating the messy parts—cleaning, moving, and verifying data—so teams can trust and use it without constant firefighting. Think of it as DevOps for data, where the focus is on maintaining data quality, uptime, and governance at scale.