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Significance of In-Memory Computing for Real-Time Big Data Analytics

Significance of In-Memory Computing for Real-Time Big Data Analytics
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Author(s): Ganesh Chandra Deka (Ministry of Labour and Employment, India)
Copyright: 2014
Pages: 18
Source title: Handbook of Research on Cloud Infrastructures for Big Data Analytics
Source Author(s)/Editor(s): Pethuru Raj (IBM India Pvt Ltd, India)and Ganesh Chandra Deka (Ministry of Labour and Employment, India)
DOI: 10.4018/978-1-4666-5864-6.ch014

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Abstract

Cloud computing provides online access of users’ data anytime, anywhere, any application, and any device. Due to the slower read/write operation of conventional disk resident databases, they are incapable of meeting the real-time, Online Transaction Processing (OLTP) requirements of cloud-based application, specifically e-Commerce application. Since In-Memory database store the database in RAM, In-Memory databases drastically reduce the read/write times leading to high throughput of a cloud-based OLTP systems. This chapter discusses In-Memory real time analytics.

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