Travelled to:
1 × Greece
1 × Korea
1 × United Kingdom
3 × Canada
3 × USA
Collaborated with:
A.Balmin K.S.Beyer U.F.Minhas H.Pirahesh I.Pandis A.Floratou M.T.Roth L.M.Haas B.V.d.Linden L.S.Colby R.Gemulla M.Y.Eltabakh S.Nural P.Koksal C.Evrendilek A.Dogac R.Cochrane V.Ercegovac D.Abadi S.Babu A.Singh E.Ting M.Nicola S.Saiprasad O.Hassanzadeh A.Kementsietsidis B.Kimelfeld R.Krishnamurthy D.Hoa C.J.Liu Y.Li Y.Tian A.Krettek J.McPherson D.D.Chamberlin Y.Xu J.Shi Y.Qiu L.Jiao C.Wang B.Reinwald K.Karanasos M.Kutsch C.Xia J.Jackson N.Tatbul D.J.Abadi M.Kornacker C.Mohan K.Ramasamy J.L.Wiener E.Curtmola Q.Li S.Srinivas Z.Vagena C.Kanne E.J.Shekita U.Halici E.Kilic G.Özhan C.Dengi S.Mancuhan I.B.Arpinar V.Josifovski J.Kleewein G.Lapis G.M.Lohman R.Lyle N.Seemann T.C.Truong B.Vickery C.Zhang
Talks about:
data (9) system (5) hadoop (5) queri (5) xml (5) analyt (4) scale (3) optim (3) path (3) larg (3)
Person: Fatma Özcan
DBLP: =Ouml=zcan:Fatma
Facilitated 1 volumes:
Contributed to:
Wrote 19 papers:
- VLDB-2015-AbadiBOP #named #tutorial
- Tutorial: SQL-on-Hadoop Systems (DA, SB, FÖ, IP), pp. 2050–2061.
- VLDB-2015-ShiQMJWRO #data analysis #pipes and filters #scalability
- Clash of the Titans: MapReduce vs. Spark for Large Scale Data Analytics (JS, YQ, UFM, LJ, CW, BR, FÖ), pp. 2110–2121.
- SIGMOD-2014-KaranasosBKOEXJ #optimisation #platform #query #scalability
- Dynamically optimizing queries over large scale data platforms (KK, AB, MK, FÖ, VE, CX, JJ), pp. 943–954.
- SIGMOD-2014-OzcanTAKMRW #big data #question
- Are we experiencing a big data bubble? (FÖ, NT, DJA, MK, CM, KR, JLW), pp. 1407–1408.
- VLDB-2014-FloratouMO #architecture #database #named
- SQL-on-Hadoop: Full Circle Back to Shared-Nothing Database Architectures (AF, UFM, FÖ), pp. 1295–1306.
- VLDB-2013-HassanzadehKKKOP #data analysis #generative
- Next Generation Data Analytics at IBM Research (OH, AK, BK, RK, FÖ, IP), pp. 1174–1175.
- SIGMOD-2011-OzcanHBBLL #data analysis #enterprise #roadmap
- Emerging trends in the enterprise data analytics: connecting Hadoop and DB2 warehouse (FÖ, DH, KSB, AB, CJL, YL), pp. 1161–1164.
- VLDB-2011-BeyerEGBEKOS #data analysis #named #scalability #scripting language #semistructured data
- Jaql: A Scripting Language for Large Scale Semistructured Data Analysis (KSB, VE, RG, AB, MYE, CCK, FÖ, EJS), pp. 1272–1283.
- VLDB-2011-EltabakhTOGKM #flexibility #named
- CoHadoop: Flexible Data Placement and Its Exploitation in Hadoop (MYE, YT, FÖ, RG, AK, JM), pp. 575–585.
- SIGMOD-2008-BalminOST #optimisation #xpath
- Grouping and optimization of XPath expressions in DB2 pureXML (AB, FÖ, AS, ET), pp. 1065–1074.
- VLDB-2008-BalminCCLOSV #analysis #named #xml
- SEDA: a system for search, exploration, discovery, and analysis of XML Data (AB, LSC, EC, QL, FÖ, SS, ZV), pp. 1408–1411.
- VLDB-2006-BalminBON #on the #performance #query #xml
- On the Path to Efficient XML Queries (AB, KSB, FÖ, MN), pp. 1117–1128.
- SIGMOD-2005-BeyerCCOPX #xquery
- Extending XQuery for Analytics (KSB, DDC, LSC, FÖ, HP, YX), pp. 503–514.
- SIGMOD-2005-BeyerOSL #design #evolution #named #xml
- DB2/XML: designing for evolution (KSB, FÖ, SS, BVdL), pp. 948–952.
- SIGMOD-2005-OzcanCPKBJZ #relational #xml
- System RX: One Part Relational, One Part XML (KSB, RC, VJ, JK, GL, GML, RL, FÖ, HP, NS, TCT, BVdL, BV, CZ), pp. 347–358.
- VLDB-2004-BalminOBCP #framework #query #using #xml #xpath
- A Framework for Using Materialized XPath Views in XML Query Processing (AB, FÖ, KSB, RC, HP), pp. 60–71.
- VLDB-1999-RothOH #cost analysis #data flow #matter #modelling
- Cost Models DO Matter: Providing Cost Information for Diverse Data Sources in a Federated System (MTR, FÖ, LMH), pp. 599–610.
- CIKM-1996-OzcanNKED #distributed #framework #optimisation #platform #query
- Dynamic Query Optimization on a Distributed Object Management Platform (FÖ, SN, PK, CE, AD), pp. 117–124.
- SIGMOD-1996-DogacHKOONDMAKE #database
- METU Interoperable Database System (AD, UH, EK, GÖ, FÖ, SN, CD, SM, IBA, PK, CE), p. 552.