Data Engineering for Data Science

This open access book aims to synthesize and integrate the research challenges in data science and data engineering. It offers a comprehensive survey of the entire data management stack, from scalable and explainable data analytics to traceable data workflows. By providing a consistent framework, it...

Full description

Bibliographic Details
Main Authors: Gilles Dejaegere, Alberto Abelló, Kristian Torp, Alkis Simitsis
Format: Book
Published: Springer Nature Switzerland 2026
Online Access:View this record in EBSCOhost