Peter Baumann (born 1960 in Rosenheim) is a German computer scientist and professor at Constructor (formerly: Jacobs) University, Bremen, Germany, where he is head of the Large-Scale Scientific Information Systems research group in the Department of Computer Science and Electrical Engineering.
Baumann is professor of Computer Science at Constructor (formerly: Jacobs) University, Bremen, Germany and founder and CEO of rasdaman GmbH.
He is inventor and Principal Architect of the rasdaman Array DBMS, the historically first complete implementation of what today is called a "Big Data Analytics" server for large, multi-dimensional arrays. He has authored and co-authored 100+ book chapters and papers on array (aka raster) databases and further fields, and has given tutorials on raster databases worldwide.
Baumann is active in several bodies concerned with scientific data access and use:
Baumann obtained a degree in Computer Science (1987) from Technical University of Munich, a doctorate (1993) in computer Science from the Department of Computer Science of the Technische Universität Darmstadt while working with Fraunhofer Institute for Computer Graphics. He has pursued post-doctoral activities in both industry and academia, working for Softlab Group in Munich (now Cirquent) and as Assistant Head of the Knowledge Bases Research Group of FORWISS (Bavarian Research Center for Knowledge-based Systems) / Technical University of Munich where he was deputy to Prof. Rudolf Bayer, Ph.D. Among Baumann's entrepreneurial activities was founding of the spin-off company rasdaman GmbH for commercialization of the world's first multi-dimensional array database system. In August 2004 he was appointed as Professor of Computer Science at Constructor (formerly: Jacobs) University.
(source: Peter Baumann's homepage)
Baumann holds international patents on array databases.
Baumann's current research interests include scalable database and Web service support for large, multi-dimensional arrays, including algebraic modeling, query language, query optimization, system architecture, and applications such as earth sciences and life sciences. As part of this research, standardization of geo raster services is being addressed. As such, it is related to dimensional databases, however with a distinct focus on spatio-temporal, multi-dimensional raster graphics data, rather than business data.
Much of his concrete work is implemented and benchmarked in the framework of the rasdaman array DBMS.
See for a complete bibliography
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rasdaman is an Array DBMS, that is: a Database Management System which adds capabilities for storage and retrieval of massive multi-dimensional arrays, such as sensor, image, simulation, and statistics data. A frequently used synonym to arrays is raster data, such as in 2-D raster graphics; this actually has motivated the name rasdaman. However, rasdaman has no limitation in the number of dimensions - it can serve, for example, 1-D measurement data, 2-D satellite imagery, 3-D x/y/t image time series and x/y/z exploration data, 4-D ocean and climate data, and even beyond spatio-temporal dimensions.
An array database management system or array DBMS provides database services specifically for arrays, that is: homogeneous collections of data items, sitting on a regular grid of one, two, or more dimensions. Often arrays are used to represent sensor, simulation, image, or statistics data. Such arrays tend to be Big Data, with single objects frequently ranging into Terabyte and soon Petabyte sizes; for example, today's earth and space observation archives typically grow by Terabytes a day. Array databases aim at offering flexible, scalable storage and retrieval on this information category.
The Web Coverage Processing Service (WCPS) defines a language for filtering and processing of multi-dimensional raster coverages, such as sensor, simulation, image, and statistics data. The Web Coverage Processing Service is maintained by the Open Geospatial Consortium (OGC). This raster query language allows clients to obtain original coverage data, or derived information, in a platform-neutral manner over the Web.
GeoPackage (GPKG) is an open, non-proprietary, platform-independent and standards-based data format for geographic information systems built as a set of conventions over a SQLite database. Defined by the Open Geospatial Consortium (OGC) with the backing of the US military and published in 2014, GeoPackage has seen widespread support from various government, commercial, and open source organizations.
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