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Travelled to:
1 × Canada
1 × China
1 × France
1 × Greece
2 × Australia
7 × USA
Collaborated with:
D.Suciu B.Howe P.Upadhyaya Y.Kwon C.Ré N.Khoussainova P.Koutris M.Stonebraker J.Letchner K.Morton D.Grossman H.Balakrishnan E.Soroush J.A.Rolia S.Chu J.Wang D.Halperin E.Merlo M.Dagenais B.Laguë K.Kontogiannis D.L.Wang S.Madden A.G.Greenberg J.D.Mackinlay K.Ren Y.Bu M.D.Ernst W.Gatterbauer M.Philipose R.Geambasu S.D.Gribble H.M.Levy T.Kraska D.Agrawal M.I.Cafarella M.I.Jordan R.Ramakrishnan N.R.Anderson R.Kaushik R.Ramamurthy M.Moyers S.Wallace K.S.Krughoff J.VanderPlas A.J.Connolly D.Maier E.Welbourne G.Borriello G.Cole Y.Li J.Walke V.T.d.Almeida L.L.Choo D.Moritz J.Ortiz V.Ruamviboonsuk A.Whitaker S.Xu P.Cudré-Mauroux H.Kimura K.Lim J.Rogers R.Simakov P.Velikhov J.Becla D.J.DeWitt B.Heath J.M.Patel S.B.Zdonik A.J.Elmore J.Duggan M.Stonebraker U.Çetintemel V.Gadepally J.Heer J.Kepner T.G.Mattson S.Papadopoulos J.Parkhurst N.Tatbul M.Vartak S.Zdonik
Talks about:
data (13) system (9) demonstr (7) queri (7) process (6) stream (5) manag (5) parallel (4) databas (4) analysi (4)

Person: Magdalena Balazinska

DBLP DBLP: Balazinska:Magdalena

Contributed to:

SIGMOD 20152015
VLDB 20152015
SIGMOD 20142014
VLDB 20142014
SIGMOD 20132013
VLDB 20132013
PODS 20122012
SIGMOD 20122012
VLDB 20122012
SIGMOD 20112011
VLDB 20112011
VLDB 20112010
SIGMOD 20102010
VLDB 20102010
VLDB 20092009
SIGMOD 20082008
VLDB 20082008
SIGMOD 20072007
SIGMOD 20052005
SIGMOD 20042004
WCRE 20002000
WCRE 19991999

Wrote 36 papers:

SIGMOD-2015-ChuBS #database #evaluation #parallel #performance #query #theory and practice
From Theory to Practice: Efficient Join Query Evaluation in a Parallel Database System (SC, MB, DS), pp. 63–78.
SIGMOD-2015-ReABCJKR #database #machine learning #question
Machine Learning and Databases: The Sound of Things to Come or a Cacophony of Hype? (CR, DA, MB, MIC, MIJ, TK, RR), pp. 283–284.
SIGMOD-2015-UpadhyayaBS #automation #policy
Automatic Enforcement of Data Use Policies with DataLawyer (PU, MB, DS), pp. 213–225.
VLDB-2015-Balazinska15a #big data #data analysis #industrial #problem #question
Big Data Research: Will Industry Solve all the Problems? (MB), pp. 2053–2064.
VLDB-2015-ElmoreDSBCGHHKK
A Demonstration of the BigDAWG Polystore System (AJE, JD, MS, MB, , VG, JH, BH, JK, TK, SM, DM, TGM, SP, JP, NT, MV, SZ), pp. 1908–1919.
VLDB-2015-WangBH #datalog #evaluation #fault tolerance #recursion
Asynchronous and Fault-Tolerant Recursive Datalog Evaluation in Shared-Nothing Engines (JW, MB, DH), pp. 1542–1553.
SIGMOD-2014-HalperinACCKMORWWXBHS #big data #data transformation
Demonstration of the Myria big data management service (DH, VTdA, LLC, SC, PK, DM, JO, VR, JW, AW, SX, MB, BH, DS), pp. 881–884.
VLDB-2014-MortonBGM #challenge
Support the Data Enthusiast: Challenges for Next-Generation Data-Analysis Systems (KM, MB, DG, JDM), pp. 453–456.
SIGMOD-2013-KoutrisUBHS #query #towards
Toward practical query pricing with QueryMarket (PK, PU, MB, BH, DS), pp. 613–624.
SIGMOD-2013-UpadhyayaABHKRS #power of
The power of data use management in action (PU, NRA, MB, BH, RK, RR, DS), pp. 1117–1120.
VLDB-2013-MoyersSWKVBC #analysis #array #image #parallel
A Demonstration of Iterative Parallel Array Processing in Support of Telescope Image Analysis (MM, ES, SW, KSK, JV, MB, AJC), pp. 1322–1325.
VLDB-2013-RenKBH
Hadoop’s Adolescence (KR, YK, MB, BH), pp. 853–864.
PODS-2012-KoutrisUBHS
Query-based data pricing (PK, PU, MB, BH, DS), pp. 167–178.
SIGMOD-2012-KwonBHR #named #pipes and filters
SkewTune: mitigating skew in mapreduce applications (YK, MB, BH, JAR), pp. 25–36.
VLDB-2012-KhoussainovaBS #debugging #named #performance #pipes and filters
PerfXplain: Debugging MapReduce Job Performance (NK, MB, DS), pp. 598–609.
VLDB-2012-KoutrisUBHS #online
QueryMarket Demonstration: Pricing for Online Data Markets (PK, PU, MB, BH, DS), pp. 1962–1965.
VLDB-2012-KwonBHR #pipes and filters
SkewTune in Action: Mitigating Skew in MapReduce Applications (YK, MB, BH, JAR), pp. 1934–1937.
VLDB-2012-UpadhyayaBS #how #in the cloud #optimisation
How to Price Shared Optimizations in the Cloud (PU, MB, DS), pp. 562–573.
SIGMOD-2011-SoroushBW #array #named #parallel
ArrayStore: a storage manager for complex parallel array processing (ES, MB, DLW), pp. 253–264.
SIGMOD-2011-UpadhyayaKB #fault tolerance #latency #online #parallel #query
A latency and fault-tolerance optimizer for online parallel query plans (PU, YK, MB), pp. 241–252.
VLDB-2011-BalazinskaHS #community #database #in the cloud
Data Markets in the Cloud: An Opportunity for the Database Community (MB, BH, DS), pp. 1482–1485.
VLDB-2011-KhoussainovaKBS #named #sql
SnipSuggest: Context-Aware Autocompletion for SQL (NK, YK, MB, DS), pp. 22–33.
SIGMOD-2010-MortonBG #graph #named #pipes and filters
ParaTimer: a progress indicator for MapReduce DAGs (KM, MB, DG), pp. 507–518.
VLDB-2010-BuHBE #clustering #named #performance #scalability
HaLoop: Efficient Iterative Data Processing on Large Clusters (YB, BH, MB, MDE), pp. 285–296.
VLDB-2009-Cudre-MaurouxKLRSSVWBBDHMMPSZ
A Demonstration of SciDB: A Science-Oriented DBMS (PCM, HK, KTL, JR, RS, ES, PV, DLW, MB, JB, DJD, BH, DM, SM, JMP, MS, SBZ), pp. 1534–1537.
VLDB-2009-GatterbauerBKS #database
Believe It or Not: Adding Belief Annotations to Databases (WG, MB, NK, DS), pp. 1–12.
VLDB-2009-LetchnerRBP #markov
Lahar Demonstration: Warehousing Markovian Streams (JL, CR, MB, MP), pp. 1610–1613.
SIGMOD-2008-KhoussainovaWBBCLLRSW
A demonstration of Cascadia through a digital diary application (NK, EW, MB, GB, GC, JL, YL, CR, DS, JW), pp. 1319–1322.
SIGMOD-2008-ReLBS #correlation #probability #query
Event queries on correlated probabilistic streams (CR, JL, MB, DS), pp. 715–728.
VLDB-2008-BalazinskaRS #aspect-oriented #data transformation #probability
Systems aspects of probabilistic data management (MB, CR, DS), pp. 1520–1521.
VLDB-2008-KwonBG #distributed #fault tolerance #file system #using
Fault-tolerant stream processing using a distributed, replicated file system (YK, MB, AGG), pp. 574–585.
SIGMOD-2007-GeambasuBGL #middleware #named #peer-to-peer
Homeviews: peer-to-peer middleware for personal data sharing applications (RG, MB, SDG, HML), pp. 235–246.
SIGMOD-2005-BalazinskaBMS #distributed #fault tolerance
Fault-tolerance in the Borealis distributed stream processing system (MB, HB, SM, MS), pp. 13–24.
SIGMOD-2004-BalazinskaBS #distributed
Load Management and High Availability in the Medusa Distributed Stream Processing System (MB, HB, MS), pp. 929–930.
WCRE-2000-BalazinskaMDLK #clone detection #object-oriented #refactoring
Advanced Clone-Analysis to Support Object-Oriented System Refactoring (MB, EM, MD, BL, KK), pp. 98–107.
WCRE-1999-BalazinskaMDLK #analysis #java
Partial Redesign of Java Software Systems Based on Clone Analysis (MB, EM, MD, BL, KK), pp. 326–336.

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