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SUMMARY:Arrays in Databases: the rasdaman Approach
DTSTART:20140228T120000
DTEND:20140228T130000
DTSTAMP:20260407T175627Z
UID:a9d93fb6bb8c20846d911613c4a896c6f6a3b4b59c5d837faab4c462
CATEGORIES:Conferences - Seminars
DESCRIPTION:Peter Baumann\, Professor of Computer Science at Jacobs Unive
 rsity Bremen. His research interest focuses on scalable multi-dimensional 
 array databases and their application in earth\, space\, and life sciences
 .\nMulti-dimensional arrays play a core role in many\, if not most science
  and engineering domains\, and even in Business Intelligence. They form th
 e 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 Arr
 ay Databases.\nThe research field of Array Databases has emerged in the at
 tempt to augment the traditionally set-driven paradigm with modelling and 
 query support for large\, n-D arrays. As it turns out\, the characteristic
 s of arrays call for dedicated language concepts and query engine architec
 tures\, thereby affecting database architectures as a whole.\nOne prominen
 t representative of Array Databases is rasdaman ("raster data manager"). I
 t 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.\nWe present the Array Database field and specif
 ically the rasdaman approach to theory\, query language\, architecture\, a
 nd optimization based on real life examples drawn mainly from geo services
 .
LOCATION:BC 410 https://plan.epfl.ch/?room==BC%20410
STATUS:CONFIRMED
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