Joshua C. Nwokeji
Papers
1
Total Citations
12
H-Index
1
About
Dr. Joshua C. Nwokeji is a leading voice in data engineering and business intelligence, with a particular focus on the critical processes that transform raw data into actionable insights. His research centers on Big Data ETL (Extract, Transform, Load) implementation, a foundational technique for integrating disparate data sources into cohesive data warehouses. In his highly cited 2018 systematic literature review, Dr. Nwokeji synthesized findings from 97 papers to identify and evaluate current approaches to Big Data ETL, providing a definitive roadmap for practitioners navigating the complexities of modern data integration. This work, with 12 citations, has become an essential reference for researchers and engineers working at the intersection of data warehousing, big data, and business intelligence. By clarifying the landscape of ETL methodologies, Dr. Nwokeji has directly contributed to more efficient and scalable data architectures, empowering organizations to leverage their data assets for strategic decision-making. His scholarship continues to shape how we understand and implement the pipelines that fuel data-driven innovation.
Research Focus
Key Achievements
Top Papers
- 1Big Data ETL Implementation Approaches: A Systematic Literature Review (P)12 citations · 2018