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In-Memory Analytics
Abstract
Analytics is the processing of data for information discovery. In-memory implementation of machine learning and statistical algorithms enable the fast processing of data for descriptive, diagnostic, predictive and prescriptive analytics. In this chapter we first present some concepts and challenges for fast analytics, then we discuss some of the most relevant proposals and data management structures for in-memory data analytics in centralized, parallel and distributed settings. Finally, we offer further research directions and some concluding remarks.
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