sci data bib

Специальное издание "Data, data everywhere", The Economist, Feb 25th 2010

Специальное издание "Big Data", Nature, 3 September 2008

Специальный выпуск "Tools and Techniques to Survive the Data Deluge", CACM, December 2008

Специальный выпуск "Dealing with Data", Science Magazine, 11 February 2011 vol 331, issue 6018, pages 639-806

"Overview of sciDB: large scale array storage, processing and analysis", Paul G. Brown, Proceeding SIGMOD '10 Proceedings of the 2010 international conference on Management of data ACM New York, NY

"A demonstration of SciDB: a science-oriented DBMS", P. Cudre-Mauroux, et al., Proceedings of the VLDB Endowment VLDB Endowment Hompage archive Volume 2 Issue 2, August 2009

"Report from the SciDB Workshop", Jacek Becla, Kian-Tat Lim Data Science Journal, Vol. 7 (2008) pp.88-95

"The Architecture of SciDB", Michael Stonebraker, Paul Brown, Alex Poliakov and Suchi Raman Lecture Notes in Computer Science, 2011, Volume 6809/2011, 1-16, DOI: 10.1007/978-3-642-22351-8_1

"Requirements for Science Data Bases and SciDB", Michael Stonebraker, Jacek Becla, David Dewitt, Kian-tat Lim, Stan Zdonik Proceedings of the CIDR 2009 conference,

"Scientific Data Management in the Cloud: A Survey of Technologies, Approaches and Challenges", Sangmi Lee Pallickara, Shrideep Pallickara and Marlon Pierce Handbook of Cloud Computing, 2010, Part 4, 517-533, DOI: 10.1007/978-1-4419-6524-0_22

"SS-DB: A Standard Science DBMS Benchmark", P Cudre-Mauroux, H Kimura, KT Lim, J Rogers,

"Data Vitalization: A New Paradigm for Large-Scale Dataset Analysis", Zhang Xiong, Wuman Luo, Lei Chen, Lionel M. Ni 2010 IEEE 16th International Conference on Parallel and Distributed Systems

"Report from the 4th Workshop on Extremely Large Databases", Jacek Becla, Kian-Tat Lim and Daniel Liwei Wang Data Science Journal, Vol. 9 (2010) pp.MR1-MR8

"Astroinformatics: A 21st Century Approach to Astronomy", Kirk D. Borne,

"LIVE: A Lineage-Supported Versioned DBMS", Anish Das Sarma, Martin Theobald and Jennifer Widom Lecture Notes in Computer Science, 2010, Volume 6187/2010, 416-433, DOI: 10.1007/978-3-642-13818-8_29

"Extreme Data-Intensive Scientific Computing", Alex Szalay, PrePrint, ISSN: 1521-9615

"Managing scientific data", Anastasia Ailamaki, et al., Communications of the ACM CACM, Volume 53 Issue 6, June 2010

"Astronomy 2020: A Pragmatic Approach", In: Astronomical Data Analysis Software and Systems XVIII. Astronomical Society of the Pacific , San Francisco, CA, pp. 165-174. ISBN 978-1-58381-7 (alternate, search)02-5

"Год эпохи перемен в технологии баз данных", С.Д. Кузнецов - Труды Института системного программирования

"Analyzing massive astrophysical datasets: Can Pig/Hadoop or a relational DBMS help?", Loebman, S., et al., Cluster Computing and Workshops, 2009. CLUSTER '09. IEEE International Conference on

"Data Lineage: A Survey", Ikeda, Robert and Widom, Jennifer (2009),

"The Fourth Paradigm: Data-Intensive Scientific Discovery", Tony Hey, Stewart Tansley, Kristin Tolle Redmond, WA : Microsoft Research, 2009. - 252 p.

"Parametrization and Classification of 20 Billion LSST Objects: Lessons from SDSS", Z. Ivezic, T. Axelrod, A.C. Becker, et al.,

"Scientific data management in the coming decade", Jim Gray et al., ACM SIGMOD Record, Volume 34 Issue 4, December 2005

"A survey of data provenance in e-science", Yogesh L. Simmhan et al., ACM SIGMOD Record, Volume 34 Issue 3, September 2005

"SDSS data management and photometric quality assessment", Ž. Ivezić2, R. H. Lupton, D. Schlegel, et al., Astronomische Nachrichten, Volume 325, Issue 6-8, pages 583–589, October 2004

"The World-Wide Telescope", Alexander Szalay and Jim Gray, Science 14 September 2001: Vol. 293 no. 5537 pp. 2037-2040

"Large Hadron Collider as Massive Grid Computer", Timothy M. O'Brien, June 26, 2008,

"LHC computing grid pushes petabytes of data, beats expectations", John Timmer, == A list of papers about scientific data management"

"Parallel Database for OLTP and OLAP",

"A comparison of approaches to large-scale data analysis", Andrew Pavlo, et al., Proceeding SIGMOD '09 Proceedings of the 35th SIGMOD international conference on Management of data ACM New York, NY

"The end of an architectural era: (it's time for a complete rewrite)", Michael Stonebraker, et al., Proceeding VLDB '07 Proceedings of the 33rd international conference on Very large data bases

""One size fits all": an idea whose time has come and gone ", Stonebraker, M.; Cetintemel, U., Data Engineering, 2005. ICDE 2005. Proceedings. 21st International Conference

"MapReduce and parallel DBMSs: friends or foes?", Michael Stonebraker, et al., Communications of the ACM - Volume 53 Issue 1, January 2010