Overview Data engineers build the pipelines and systems that collect, clean, and organize information for analysis.Data scientists use that organized data to un ...

As AI becomes central to the enterprise, data engineers are stepping out from behind the scenes to help shape AI strategy and ...

As organizations scramble to enact agentic AI solutions, accessing proprietary data from all the nooks and crannies will be ...

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 ...

The demand for data engineering solutions is growing significantly. According to a Market Data Forecast report, the global big data and data engineering market was valued at $75 billion in 2024 and is ...

Expertise from Forbes Councils members, operated under license. Opinions expressed are those of the author. As a data engineering leader with over 15 years of experience designing and deploying ...

A modern DataOps strategy should prioritize five core DataOps capabilities: data pipeline orchestration, data pipeline ...

Data engineers and data scientists work together to elicit insights from big data to optimise organisational performance. Their end goal is similar, however, the distinction between the roles of data ...

From a small telematics start-up in Ontario, Canada, to a global powerhouse processing billions of records a day, Cawse’s ...

The vast majority of data engineers are burnt out, a recent survey found. Experts say the healthcare sector is no exception. The survey, which was commissioned by data.world and DataKitchen, reached ...

At POWERGEN 2026, Siemens Energy’s Joshua Brooks explores how dispatchable generation, advanced controls and storage ...