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 ...

The future belongs to engineers who can bridge the gap between traditional back-end development and data engineering.

Enabling the collection and utilization of data is crucial to successfully supporting AI projects at enterprise scale. From data integration to data pipelines, AI performance, data governance, ...

Many enterprises, vendors, and startups often confuse the role of data scientist and data engineers. While the overlap of these roles is substantial they’re not particularly interchangeable.

A startup called TensorStax says it’s looking to bring artificial intelligence-powered automation to the unyielding world of data engineering after raising $5 million in seed funding. Today’s ...

On the one hand, semiconductor companies often need to share data so others can leverage data for problem solving and improve their overall manufacturing processes. On the other, these companies need ...

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 ...

The chip industry generates enormous quantities of data, from design through manufacturing, but much of it is unavailable or incomplete. And even when and where it is available, it is frequently under ...

The advent of technologies like Hadoop and Spark further emphasised the importance of these roles, which bridge raw data and actionable insights, aiding data scientists and analysts.

While the concept of data engineering isn’t new, its importance has grown significantly in the past 18-24 months due to the AI-driven reliance on high-quality, well-governed data.