SAP HANA goes private 6 From Privacy Research to Privacy Aware Enterprise Analytics
Summary: Introduces SAP HANA Data Anonymization, a privacy-aware processing layer for GDPR-compliant handling of personal data in enterprise analytics. Demonstrates integrating personal and non-personal data in SAP HANA with scalable, privacy-preserving analytics. (summarized by gpt-5-nano on Feb 09 2026)
Incoming Non-self Citations Over Time
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Incoming Citations (Sorted by Pagerank)
Showing 1 of 1 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 9,611 | In-Memory for the Masses: Enabling Cost-Efficient Deployments of In-Memory Data Management Platforms for Business Applications | 2019 | VLDB | 4.3177432e-05 |
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Outgoing Citations (Sorted by Pagerank)
Showing 4 of 4 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 455 | Incognito: Efficient Full-Domain K-Anonymity | 2005 | SIGMOD | 0.00022717354 |
| 634 | m-Invariance: Towards Privacy Preserving Re-publication of Dynamic Datasets | 2007 | SIGMOD | 0.00018895628 |
| 858 | Efficient Transaction Processing in SAP HANA Database – The End of a Column Store Myth | 2012 | SIGMOD | 0.000158756 |
| 5,080 | Exploring Privacy-Accuracy Tradeoffs using DPComp | 2016 | SIGMOD | 5.7137145e-05 |
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