DBPapers
DOI: 10.5593/SGEM2014/B21/S7.009

BIG DATA AND MULTIDIMENSIONAL ANALYSES WITH SPATIAL DATA

J. Otrzasek, W. Mueller, K. Koszela, J. Weres, J. Przybyl
Wednesday 1 October 2014 by Libadmin2014

References: 14th International Multidisciplinary Scientific GeoConference SGEM 2014, www.sgem.org, SGEM2014 Conference Proceedings, ISBN 978-619-7105-10-0 / ISSN 1314-2704, June 19-25, 2014, Book 2, Vol. 1, 65-72 pp

ABSTRACT
In this article, the authors concentrate primarily on free-of-charge Big Data dedicated solutions (Apache Flume, Hadoop PostGreSQL) and attempt to combine them with commercial programs offered by Microsoft, including SQL Server 2012/2014, with geospatial type libraries ready to use on the .Net platform. It is worth mentioning that geospatial types are also available in free-of-charge versions of SQL Server Express Edition (as well as other providers’ RDBMS, e.g. PostGreSQL). The presented solution uses a spectrum of various platforms, including the SSAS platform (Sql Server Analysis Services), constituting a part of MS SQL Server in its chargeable version (min. standard).

Keywords: SSAS, SQL Server, Spatial data, Excel, PivotTable, Spatial Analysis, SOLAP, OLAP, MultidimensionalCubes, MDX

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