For years, the industry standard for data ops has been a ticket-based service bureau. A product manager wants a new dashboard? Ticket. A data scientist needs a new feature pipeline? Ticket. A ...

This is where AI-augmented data quality engineering emerges. It shifts data quality from deterministic, Boolean checks to ...

Forbes contributors publish independent expert analyses and insights. I track enterprise software application development & data management. Data engineers engineer. Obviously they do, the clue is in ...

In 2026, data engineering isn't just about managing data-it's about building intelligent systems that power business strategy. Companies are moving beyond batch warehouses to real-time, cloud-native ...

In today's competitive business landscape, data has surpassed the meaning of just a word. Data is now the center of growth and innovation for an organization. However, simply possessing data will not ...

Though the AI era conjures a futuristic, tech-advanced image of the present, AI fundamentally depends on the same data standards that have been around forever. These data standards—such as being clean ...

Community driven content discussing all aspects of software development from DevOps to design patterns. Over the past few months, I have been helping cloud engineers, data specialists, and AWS ...