Abstract
We present TARGIT’s Xbone memory-based analytics server and define the concept of an Inverted Data Warehouse (IDW). We demonstrate the high-performance analytics properties of this particular design, as well as its resistance to failures. Additionally, we present a large scale solution in which TARGIT Xbone and IDW are implemented incorporating Google search data. The solution is used for so-called Search Engine Optimization (SEO) and can reveal interesting information about Google’s algorithmic behavior on specific searches. Finally, we demonstrate the combined TARGIT Xbone and IDW to be very cost-effective and thus available to small enterprises that would normally not benefit from Big Data analytics.
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Acknowledgments
This work was supported by TARGIT and Center for Data-Intensive Systems (Daisy) at Aalborg University.
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Middelfart, M. (2015). The Inverted Data Warehouse Based on TARGIT Xbone. In: Castellanos, M., Dayal, U., Pedersen, T., Tatbul, N. (eds) Enabling Real-Time Business Intelligence. BIRTE BIRTE 2014 2013. Lecture Notes in Business Information Processing, vol 206. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-662-46839-5_2
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DOI: https://doi.org/10.1007/978-3-662-46839-5_2
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