What’s the difference between a data engineer and a data analyst? Data isn’t much good without people who know how to collect it, shape it, and explain what it means. That’s where data engineers and ...

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

Mukul Garg is the Head of Support Engineering at PubNub, which powers apps for virtual work, play, learning and health. In my journey through data engineering, one of the most remarkable shifts I’ve ...

Forbes contributors publish independent expert analyses and insights. Kathleen Walch covers AI, ML, and big data best practices. Companies are searching for and competing for increasingly scarce data ...

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 ...

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 ...

The latest trends in software development from the Computer Weekly Application Developer Network. This is a guest post for the Computer Weekly Developer Network written by Gordon Robinson in his ...

Data has always been regarded as an organisation’s crown jewels, but due to the explosion of data sources, making sense of the structured and unstructured information contained within an enterprise’s ...

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 ...