The principal performance driver of a Big Data application is the data model in which the Big Data resides. Unfortunately most extant Big Data tools impose a data model upon a problem and thereby cripple their performance in some applications. The aim of this chapter is to discuss some of the principle data models that exist and are imposed; and then to argue that an industrial strength Big Data solution needs to be able to move between these models with a minimum of effort.
CITATION STYLE
Bayliss, D. (2016). Models for big data. In Big Data Technologies and Applications (pp. 237–255). Springer International Publishing. https://doi.org/10.1007/978-3-319-44550-2_9
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