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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, the authors first present some concepts and challenges for fast analytics, then they discuss some of the most relevant proposals and data management structures for in-memory data analytics in centralized, parallel, and distributed settings. Finally, the authors offer further research directions and some concluding remarks.
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