Enterprise Application-Database Co-Innovation for Hybrid Transactional/Analytical Processing: A Virtual Data Model and Its Query Optimization Needs
Summary: HTAP enterprise apps and databases co-innovated via a Virtual Data Model (VDM) enabling analytics over transactional data. Analyzes optimization challenges--expansive join views, augmentation joins, and augmentation self-joins--stressing robust optimizers for scalable HTAP (SAP S/4HANA/HANA). (summarized by gpt-5-nano on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Kihong Kim
- 2. Hyunwook Kim
- 3. Jinsu Lee
- 4. Taehyung Lee
- 5. Alexander Böhm
- 6. Norman May
- 7. Guido Moerkotte
- 8. Daniel Ritter
- 9. Ralf Dentzer
- 10. Heiko Gerwens
- 11. Irena Kofman
- 12. Mihnea Andrei
Incoming Citations (Sorted by Pagerank)
Showing 4 of 4 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 8,845 | Experimental Evaluation of Optimizing Memory Consumption in SAP HANA Using PEOopt | 2025 | SIGMOD | 4.4374415e-05 |
| 10,415 | SAP HANA Cloud: Data Management for Modern Enterprise Applications | 2025 | SIGMOD | 4.1945683e-05 |
| 10,767 | The HANA Native Query Engine for Lakehouse Systems | 2025 | VLDB | 4.1945683e-05 |
| 10,852 | CloudGlide: Deconstructing the Landscape of Cloud-Based Analytics | 2025 | VLDB | 4.1945683e-05 |
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Outgoing Citations (Sorted by Pagerank)
Showing 12 of 12 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
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