The role of data engineering has evolved dramatically. In the past, it was primarily operational, focused on ensuring the smooth functioning of data pipelines, accurate dashboards, and timely delivery ...

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 ...

Will the future of enterprise AI hinge on data streaming engineers and organizations closing the gap between knowing and ...

AIM Media House brings the Data Engineering Summit 2026 to Bengaluru, uniting engineers and leaders to explore the frameworks ...

The rise of machine learning and automation, coupled with an increased availability of data, has led to a renaissance in data analytics. Bloomberg’s rapidly growing Data Services Engineering team is ...

AUSTIN, Texas & CAMBRIDGE, Mass.--(BUSINESS WIRE)--A survey commissioned by data.world and DataKitchen reveals a disturbing state of affairs among data engineering professionals. The study of 600 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 ...

The interest in Big Data Engineering is surging among students pursuing B.Tech in Computer Science and IT. This field has become a preferred option for many young professionals, and here's why. In ...

One of the biggest highlights this year is Artificial Intelligence and Data Engineering, which has emerged as one of IIT ...

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.