Data engineering requires expertise in programming and data management, and now IT leaders need to include large language models in their data strategy.

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 ...

All of these questions have technical, architectural, and efficiency implications. A good data engineer delivers the best system that balances the organization's needs, costs, and timelines.

SAP's Databricks-powered Business Data Cloud will give teams a faster, simpler way to unify and mobilize their business data assets.

This architecture supports both data engineering and AI/ML workloads, fostering collaboration between data engineers, ML engineers, data scientists and business stakeholders. Synthetic data, which ...

Are you ready for data hyperaggregation? The idea of integrating data gathered from multiple sources is hardly new, but interest in digital transformation and AI is pushing enterprises to tackle ...

The Engineering Science MS with a course focus in Data Science offers students a comprehensive education in big data and analysis. Students gain knowledge, expertise, and practical training in various ...