@article{BuchmuellerHemsenMarkletal.2014,
  author    = {Buchm{\"u}ller, Christoph and Hemsen, Holmer and Markl, Volker and Schermann, Michael and Bitter, Till and Hoeren, Thomas and Krcmar, Helmut},
  title     = {Big Data - An Interdisciplinary Opportunity for Information Systems Research},
  series = {Business \& Information Systems Engineering},
  journal   = {Business \& Information Systems Engineering},
  pages     = {261 -- 266},
  year      = {2014},
  language  = {en}
}
@article{BuchmuellerHemsenSchermannetal.2014,
  author    = {Buchm{\"u}ller, Christoph and Hemsen, Holmer and Schermann, Michael and Bitter, Till and Krcmar, Helmut and Markl, Volker and Hoeren, Thomas},
  title     = {Big Data - Eine interdisziplin{\"a}re Chance f{\"u}r die Wirtschaftsinformatik},
  series = {Wirtschaftsinformatik},
  volume    = {2014},
  journal   = {Wirtschaftsinformatik},
  number    = {5},
  issn      = {0937-6429},
  pages     = {281 -- 287},
  year      = {2014},
  language  = {de}
}
@book{BuchmuellerHoerenMarkletal.2014,
  author    = {Buchm{\"u}ller, Christoph and Hoeren, Thomas and Markl, Volker and Bitter, Till and Uecker, Philip and Andrees, Markus and V{\"o}lkel, Jonas},
  title     = {Big Data und Recht},
  editor    = {Hoeren, Thomas},
  publisher = {C.H.Beck},
  address   = {M{\"u}nchen},
  isbn      = {978-3-406-67122-7},
  publisher      = {FH M{\"u}nster - University of Applied Sciences},
  pages     = {135},
  year      = {2014},
  language  = {de}
}
@masterthesis{Scharlau2016,
  type      = {Bachelor Thesis},
  author    = {Scharlau, Lukas},
  title     = {Multi-part Nanocubes},
  publisher = {FH M{\"u}nster},
  doi       = {10.25974/fhms-950},
  url       = {http://nbn-resolving.de/urn:nbn:de:hbz:836-opus-9500},
  school      = {FH M{\"u}nster - University of Applied Sciences},
  year      = {2016},
  abstract  = {This thesis describes the development of Multi-part Nanocubes. It is a further development of Nanocubes, an in-memory data structure for spatiotemporal data cubes. "Nanocubes provides you with real-time visualization of large datasets. Slice and dice your data with respect to space, time, or some of your data attributes, and view the results in real-time on a web browser over heatmaps, bar charts, and histograms." Partitioning the structure to parallelize the build process as well as merging query results is the principal part of this document. Furthermore, a new memory management (slab allocation with offset pointers) was implemented to enable 32-bit support and faster load times of already built nanocubes. Porting the project to Windows and implementing on-the-fly compression and decompression of nanocube files is also described.},
  subject      = {Massendaten},
  language  = {en}
}
@masterthesis{Leifeling2016,
  type      = {Bachelor Thesis},
  author    = {Leifeling, Simon},
  title     = {Digitale Ortung und Tracking als medienp{\"a}dagogische Herausforderungen in Praxisfeldern Sozialer Arbeit},
  year      = {2016},
  abstract  = {Diese Arbeit kann in der Bereichsbibliothek H{\"u}fferstiftung (Sozialwesen) eingesehen werden.},
  language  = {de}
}