LLMs and Gen AI will play a pivotal role in shaping the data engineering landscape in the coming months and years.

Srinivasa KalyanVangibhurathachhi is an experienced technology professional who has spent nearly two decades working in data ...

Adopting a digital thread and model-based approach requires organizations to work differently. Engineering and manufacturing must collaborate and exchange data in new ways, but the changes also extend ...

As a result, data engineering has become pivotal in today’s data-driven enterprise as businesses need to design, build and maintain systems that enable the effective collection, storage ...

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 ...

AI-powered data engineering has the potential to completely transform business analytics, as demonstrated by Hari's career. For those who can fully utilize this technology, the future is bright.

Unlike conventional construction workflows, the ED-S system treats each project as a living data ecosystem. The idea is ...

Data engineering use Data engineering teams already use Airflow for AI-related tasks like tracking the path to production, validating data lineage and ensuring trust in results.