Provenance in Data Science (1st ed.) Study Guide by Leslie F. Sikos, Oshani W. Seneviratne, & Deborah L. McGuinness | 2025/2026 Guide to Ace Your Exams
Unlock the complexities of data history with 'Provenance in Data Science: From Data Models to Context-Aware Knowledge Graphs'. This comprehensive guide, fully updated for the 2025/2026 academic year, provides a deep dive into the state-of-the-art theories and practices of data provenance. An essential resource for graduate students, researchers, and aspiring data scientists, this guide is expertly crafted to help you master core concepts, from foundational data models to advanced context-aware knowledge graphs. Ensure you pass your exams on the first attempt and avoid resits with this ultimate success tool.
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