Data engineers work for enterprises in various industries to help them manage and store the data they need to operate, and, increasingly, to support their AI initiatives.

Several people are familiar with the field of data science, but not everyone is aware of a data engineering certification. However, companies are hiring roughly 55 percent more data engineers than ...

Considering a career as a data analyst or data engineer? Explore the differences between the roles and how they collaborate ...

Data engineers must be proficient in computer programming, relational and non-relational database management, distributed computer frameworks, cloud technology, ETL (extract, transform and load ...

Experts joined DBTA's webinar, Top Trends in Data Engineering for 2025, to explore the new trends and best practices shaping the future of engineering, from AI-driven tools to real-time data ...

Data-Centric Engineering sits at the interface of data science and engineering, combining mathematical modelling with the latest advances in big data and Artificial Intelligence. Data-Centric ...

The bounding condition in deploying the Internet of Things (IoT) is not going to be the deployment of devices but rather the management and analysis of the data coming off those devices. If you ...

This article explores key insights from Hands-On Big Data Engineering, discussing why data engineering is critical in the AI-driven era, how enterprises can harness it for innovation and what the ...

The scientific approach to data engineering, emphasising context preservation, data integrity and flexible access patterns, offers a blueprint for managing complex data ecosystems in any domain.