Comprehensive and interactive temporal query processing with SAP HANA

Proceedings of the VLDB Endowment

Volumn 6, Issue 12, 2013, Pages 1210-1213

  Kaufmann, Martin ^a,c   Vagenas, Panagiotis ^a,c   Fischer, Peter M ^b   Kossmann, Donald ^a   Färber, Franz ^c  

^a ETH ZURICH   (Switzerland)

^b UNIVERSITY OF FREIBURG   (Germany)

^c SAP RESEARCH   (Germany)

Author keywords

[No Author keywords available]

Indexed keywords

DATABASE SYSTEMS;

INDEX STRUCTURE; INTERACTIVE QUERIES; MAIN MEMORY DATABASE SYSTEMS; POOR PERFORMANCE; TEMPORAL FEATURES; TEMPORAL OPERATORS; TEMPORAL QUERIES; TEMPORAL SUPPORT;

QUERY PROCESSING;

EID: 84891101938     PISSN: None     EISSN: 21508097     Source Type: Journal    
DOI: 10.14778/2536274.2536278     Document Type: Article

References (9)

1. M. H. Böhlen et al. Multi-dimensional Aggregation for Temporal Data. In EDBT, 2006.
2. J. Clifford et al. On temporal grouping. In Temporal Databases, 1995.
3. L. Golab et al. On Indexing Sliding Windows over Online Data Streams. In EDBT, 2004.
4. M. Kaufmann et al. Timeline Index: A Unified Data Structure for Processing Queries on Temporal Data in SAP HANA. In SIGMOD, 2013.
5. K. G. Kulkarni and J.-E. Michels. Temporal Features in SQL: 2011. SIGMOD Record, 41(3), 2012.
6. H. Plattner and A. Zeier.In-Memory Data Management: An Inflection Point for Enterprise Applications. IT Pro. 2011.
7. C. M. Saracco et al. A Matter of Time: Temporal Data Management in DB2 10. Technical report, IBM, 2012.
8. R. T. Snodgrass et al. TSQL2 Language Specification. SIGMOD Record, 23(1), 1994.
9. D. Zhang et al. On Computing Temporal Aggregates with Range Predicates. ACM Trans. Database Syst., 33(2), 2008.