MLDS-413 teaches data engineering skills that are essential for “data science” practitioners, in particular, how to model, organize, store, and analyze data in modern relational database management ...

Today, the amount of data that organizations collect is unprecedented. However, being able to find the “right” data and create innovative data analytics solutions is just the first challenge. The ...

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 ...

In reality, AI enterprise deployment is a very complex data engineering challenge points out Jim Liddle, chief innovation officer for data intelligence and AI at cloud file service platform ...