Data Warehouse Automation is a methodological framework that systematically integrates and streamlines the design, development, deployment, and maintenance processes of data warehouses through the application of reusable templates, metadata-driven workflows, and rule-based transformation logic to enhance efficiency, consistency, and scalability in enterprise data integration.
34
Publications
1.9K
Citations
105
Authors
36
Institutions
Publications per year
2017–2026
5
Parents
Publications
34
1–5 of 34
Authors
105
- JS
2
h-index
- OR
2
h-index
- UD
2
h-index
- DJ
2
h-index
- NR
2
h-index
1–5 of 105
Institutions
36
Hewlett-Packard (United States)
Palo Alto, United States
2 h-index
5 publications
106 citations
Universitat Politècnica de Catalunya
Barcelona, Spain
2 h-index
4 publications
444 citations
Intel (United States)
Santa Clara, United States
2 h-index
5 publications
54 citations
University of South Florida
Tampa, United States
2 h-index
2 publications
44 citations
City University of New York
New York, United States
1 h-index
1 publications
16 citations
Jimei University
Xiamen, China
1 h-index
4 publications
52 citations
Vasyl Stefanyk Carpathian National University
Ivano-Frankivsk, Ukraine
1 h-index
1 publications
16 citations
National and Kapodistrian University of Athens
Athens, Greece
1 h-index
2 publications
208 citations
1–8 of 36
Venues
- PubMed
Repository · 3 publications · 62 citations
3
h-index
- International Journal of Computer Applications
3 publications · 56 citations
3
h-index
- IEEE Data(base) Engineering Bulletin
2 publications · 33 citations
2
h-index
- Digital Commons @ Butler University (Butler University)
Repository · 1 publications · 33 citations
1
h-index
- International Journal of Intelligent Information Technologies
1 publications · 12 citations
1
h-index
1–5