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What is Memory Tables

Chapter 14
Handbook of Research on Cloud Infrastructures for Big Data Analytics
Some DBMSs provide a feature called “memory tables” through which certain tables can be designated for all-in-memory handling. Memory tables don’t change the underlying assumptions of database system design and the optimization goals of a traditional DBMS are diametrically opposed to those of an IMDS. With an on-disk database, the primary burden on performance is file I/O. Thus its design seeks to reduce I/O, often by trading off memory consumption and CPU cycles to do so. This includes using extra memory for a cache, and CPU cycles to maintain the cache.
Published in Chapter:
Significance of In-Memory Computing for Real-Time Big Data Analytics
Ganesh Chandra Deka (Ministry of Labour and Employment, India)
Copyright: © 2014 |Pages: 18
DOI: 10.4018/978-1-4666-5864-6.ch014
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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