= Spatio-Temporal Big Data: the rasdaman approach

[[Image(grid_TS.png, width=35%, align=right, margin-left=25)]]

Download here the workshop PDF [attachment:BigDataRasdamanWorkshop.pdf tutorial], and the log of [attachment:LOG shell exercises].[[BR]]
Datasets and VM envinronment (Linux) can also be downloaded [http://kahlua.eecs.jacobs-university.de/~pcampalani/ogrs14/ here].

== Outline

   1. '''''Concepts'''''
      a. rasdaman Array DBMS and its RasQL query language
      a. the GMLCOV model
      a. Web Coverage Service and its Processing extension
   1. '''''Hands-on'''''
      a. deploy required components for web access of data
      a. ingesting & querying your own dataset:
         - 2D rectified image
         - 3D regular time series of images
         - 3D irregular time series of images

Participants are going to learn:

  - WCS/WCPS standards
  - setting up and querying spatio-temporal gridded coverages within those
  - rasdaman and its components for input/output

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The workshop has been presented so far at:

   A. '''OGRS'14''' [2014-jun-12][[BR]]
      ''Open-source Geospatial Research & Education Symposium 2014''[[BR]]
      Otaniemi, Espoo, FIN.[[BR]]
      http://2014.ogrs-community.org/workshops.html#rasdaman [[BR]][[BR]]
   A. '''FOSS4G-Europe''' [2014-jul-14][[BR]]
      ''OSGeo's European Conference on Free & Open-Source Software for Geospatial''[[BR]]
      Jacobs University Bremen, DE.[[BR]]
      http://www.foss4g-e.org/

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