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.

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

Artificial intelligence (AI) is revolutionizing data engineering, reshaping how information is collected, transformed, ...