Arrays in Databases: the rasdaman Approach
Event details
| Date | 28.02.2014 |
| Hour | 12:00 › 13:00 |
| Speaker |
Peter Baumann, Professor of Computer Science at Jacobs University Bremen. His research interest focuses on scalable multi-dimensional array databases and their application in earth, space, and life sciences. |
| Location | |
| Category | Conferences - Seminars |
Multi-dimensional arrays play a core role in many, if not most science and engineering domains, and even in Business Intelligence. They form the natural data structure for satellite imagery, microscopy scans, radio astronomy and cosmological simulations, statistics data cubes, and many more. Sometimes even the term "Scientific Databases" is used to denote Array Databases.
The research field of Array Databases has emerged in the attempt to augment the traditionally set-driven paradigm with modelling and query support for large, n-D arrays. As it turns out, the characteristics of arrays call for dedicated language concepts and query engine architectures, thereby affecting database architectures as a whole.
One prominent representative of Array Databases is rasdaman ("raster data manager"). It has evolved since the mid-Nineties and meantime is in operational use on multi-Terabyte objects. The rasdaman concepts heavily have influenced geo raster service standards.
We present the Array Database field and specifically the rasdaman approach to theory, query language, architecture, and optimization based on real life examples drawn mainly from geo services.
The research field of Array Databases has emerged in the attempt to augment the traditionally set-driven paradigm with modelling and query support for large, n-D arrays. As it turns out, the characteristics of arrays call for dedicated language concepts and query engine architectures, thereby affecting database architectures as a whole.
One prominent representative of Array Databases is rasdaman ("raster data manager"). It has evolved since the mid-Nineties and meantime is in operational use on multi-Terabyte objects. The rasdaman concepts heavily have influenced geo raster service standards.
We present the Array Database field and specifically the rasdaman approach to theory, query language, architecture, and optimization based on real life examples drawn mainly from geo services.
Practical information
- General public
- Free
Organizer
- Prof. Anastasia Ailamaki