Travelled to:1 × Brazil
1 × Germany
1 × Portugal
1 × Spain
2 × Canada
4 × USA
Collaborated with:∅ A.Zeier J.Krüger M.Grund J.Wust C.Fähnrich M.Schapranow A.Bog K.Sachs J.Schaffner M.Boissier O.Panchenko J.Karstens T.Kowark C.Matthies M.Uflacker S.Müller L.Butzmann K.Hoewelmeyer S.Klauck J.Boese F.Renkes S.Blessing P.Cudré-Mauroux S.Madden T.Willhalm N.Popovici Y.Boshmaf T.Januschowski M.Kercher T.Kraska M.J.Franklin D.Jacobs C.Kim N.Satish D.Schwalb J.Chhugani P.Dubey
Talks about:databas (9) memori (8) enterpris (5) data (5) use (4) effici (3) applic (3) workload (2) columnar (2) softwar (2)
Person: Hasso Plattner
DBLP: Plattner:Hasso
Contributed to:
2015
2014
2014
2013
2013
201220122011
20112010201020092009
1996
2016Wrote 15 papers:
- SAC-2015-FahnrichSP #database #identification #in memory #search-based
- Facing the genome data deluge: efficiently identifying genetic variants with in-memory database technology (CF, MPS, HP), pp. 18–25.
- ICEIS-v3-2014-BoissierKWP #data transformation #enterprise
- An Integrated Data Management for Enterprise Systems (MB, JK, JW, HP), pp. 410–418.
- VLDB-2014-Plattner #database #enterprise #in memory
- The Impact of Columnar In-Memory Databases on Enterprise Systems (HP), pp. 1722–1729.
- EDOC-2013-MullerBHKP #database #enterprise #in memory #maintenance #performance
- Efficient View Maintenance for Enterprise Applications in Columnar In-Memory Databases (SM, LB, KH, SK, HP), pp. 249–258.
- SIGMOD-2013-SchaffnerJKKPFJ #clustering #database #in memory #named #robust
- RTP: robust tenant placement for elastic in-memory database clusters (JS, TJ, MK, TK, HP, MJF, DJ), pp. 773–784.
- CIKM-2012-WustBRBKP #database #enterprise #in memory #performance
- Efficient logging for enterprise workloads on column-oriented in-memory databases (JW, JHB, FR, SB, JK, HP), pp. 2085–2089.
- SIGMOD-2012-BogSP #interactive #monitoring #performance
- Interactive performance monitoring of a composite OLTP and OLAP workload (AB, KS, HP), pp. 645–648.
- VLDB-2012-KruegerKGSSCPDZ11 #database #manycore #performance #using
- Fast Updates on Read-Optimized Databases Using Multi-Core CPUs (JK, CK, MG, NS, DS, JC, HP, PD, AZ), pp. 61–72.
- ICPC-2011-PanchenkoKPZ #database #precise #query #scalability #source code #using
- Precise and Scalable Querying of Syntactical Source Code Patterns Using Sample Code Snippets and a Database (OP, JK, HP, AZ), pp. 41–50.
- VLDB-2011-GrundKPZCM10 #hybrid #in memory #memory management #named
- HYRISE — A Main Memory Hybrid Storage Engine (MG, JK, HP, AZ, PCM, SM), pp. 105–116.
- EDOC-2010-KrugerGZP #data transformation #enterprise
- Enterprise Application-Specific Data Management (JK, MG, AZ, HP), pp. 131–140.
- SIGMOD-2009-Plattner #approach #database #in memory #using
- A common database approach for OLTP and OLAP using an in-memory column database (HP), pp. 1–2.
- VLDB-2009-WillhalmPBPZS #in memory #named #performance #using
- SIMD-Scan: Ultra Fast in-Memory Table Scan using on-Chip Vector Processing Units (TW, NP, YB, HP, AZ, JS), pp. 385–394.
- ICSE-1996-Plattner #development #standard
- A Standard Software Application Development: SAP R/3 (HP), p. 320.
- ASE-2016-KowarkMUP #lightweight #repository
- Lightweight collection and storage of software repository data with DataRover (TK, CM, MU, HP), pp. 810–815.