Springer Handbook of Data Engineering

The Springer Handbook of Data Engineering is a comprehensive reference on the principles, technologies, and practices for designing, building, and deploying modern data infrastructures. It addresses the engineering foundations required to transform massive, heterogeneous data into actionable knowledge for intelligent systems and data-driven decision-making.

This handbook explores the full spectrum of data engineering challenges, from distributed architectures and cloud-based processing to ...