Microsoft Research Microsoft Corporation / Parallel Database Systems / GenBank / Oracle / High Performance Database Systems / Google / MySQL / Database Management Systems / Entrez-PubMedGenBank / /
Currency
pence / /
Facility
International Virtual Observatory / /
IndustryTerm
analysis algorithms / metadata management / visualization tools / scientific applications / approximate algorithms / parallel algorithms / machine learning algorithms / data products / associative search / Data analysis tools / brute-force search / data mining / array processing tasks / file systems / parallel processing / local processing / data management systems / spatial search / science applications / data definition tools / parallel search / http /
Organization
Cornell / Johns Hopkins University / Committee on Data Management / Archiving / and Computing / US Federal Reserve / National Aeronautics and Space Administration / /
Person
Maria Nieto-Santisteban / Alexander S. Szalay / David DeWitt / David T. Liu / /
Position
database administrator / disk controller / scientist / worker / model / data analysis proceeds / /
Product
Microsoft Corporation Portable Audio Device / /
ProgrammingLanguage
Java / C / Python / HTML / SQL / XML / Fortran / XQuery / /
ProvinceOrState
Washington / /
Technology
Object-oriented programming / XML / JPEG / relational database / analysis algorithms / MP3 / machine learning / html / PDF / integrating machine learning algorithms / Java / data mining / RDF / simulation / parallel processing / /
Scientific Data Management in the Coming Decade Jim Gray, Microsoft David T. Liu, Berkeley Maria Nieto-Santisteban & Alexander S. Szalay, Johns Hopkins University David DeWitt, Wisconsin Gerd Heber, Cornell