= Spatio-Temporal Big Data: the rasdaman approach = The information on this page is deprecated, we are working on updating the tutorial. Stay tuned! = [[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]] [http://rasdaman.org/chrome/site/ogrs14/datasets/BigDataRasdamanApproach_DATASETS.tar.gz Datasets] and [http://rasdaman.org/chrome/site/ogrs14/rasdaman-ogrs14.ova VM environment] (Linux) can also be downloaded. == 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 ---- The workshop has been presented so far at: * [http://2014.ogrs-community.org/ Open-source Geospatial Research & Education Symposium 2014] (OGRS'14), Otaniemi, Espoo, FI, 2014-jun-12 * [http://www.foss4g-e.org/ OSGeo European Conference on Free & Open-Source Software for Geospatial] (FOSS4G-Europe), Jacobs University Bremen, DE, 2014-jul-14 ---- (image credit: P. Campalani et al: Making Time Just Another Axis in Geospatial Services. Proc. 20th Intl. Symp. on Temporal Representation and Reasoning (TIME'13)]]