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

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

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 ...

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

Big data engineers develop, maintain, test, and evaluate big data solutions within organizations. Duties include resolving ambiguities in data, performance optimization, and data extraction. Big data ...

Bloomberg’s Data Technologies Engineering team is responsible for the data collection systems that onboard all of the referential data that drive the company’s applications and enterprise solutions.

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 ...

Organizations have been investing heavily in data, analytics and AI for decades. The promise is clear and ambitious: Better ...

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 ...

Dr. Douglas Orellana, vice president of Intelligent Systems Engineering, ManTech With the emergence of Industry 4.0—the realization of digital transformation—many feel that engineering organizations’ ...

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 ...