Degree

Master of Science in Computer Science

Faculty / School

Faculty of Computer Sciences (FCS)

Department

Department of Computer Science

Date of Award

Spring 2016

Advisor/Supervisor

Shams Naveed Zia

Committee Member 1

Shams Naveed Zia, Supervisor, Department of Computer Science, Institute of Business Administration (IBA), Karachi

Project Type

MSCS Survey Report

Access Type

Restricted Access

Subjects

Business Intelligence, Business Analytics, Databases, Databases and Information Systems

Abstract / Summary

Main memory databases store all or part of the data in memory and subsequently reduce or eliminate disk access. This paper presents an architectural study of memory databases with respect to cost/performance trade-offs and practical applicability issues. In-memory data analytics is an effective means of achieving high performance data processing and realizing the value of data in a timely manner. Efforts in this direction have been spent on various aspects, including in-memory algorithmic designs and system optimizations. This survey paper, we have reviewed different perspectives, features and benefits of using in-memory analytics.

Pages

vii, 13

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