In-memory processing: Difference between revisions

Revision as of 08:42, 9 June 2015

Revision as of 06:49, 10 June 2015

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== Definition ==

With businesses demanding faster and easy access to information in order to make reliable and smart decisions, In-memory processing is an emerging technology that is gaining attention.<ref>{{cite journal|author=Hao Zhang|author2=Gang Chen|author3=Beng Chin Ooi|author4=Kian-Lee Tan|author5=Meihui Zhang|title=In-Memory Big Data Management and Processing: A Survey|journal=IEEE Transactions on Knowledge and Data Engineering|date=July 2015|volume=27|issue=7|pages=1920–1948|url=http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7097722}}</ref>. It enables users to have immediate access to right information which results in more informed decisions. Traditional [[Business Intelligence]] (BI) technology loads data onto the disk in the form of tables and multi-dimensional cubes against which queries are run. Using In-memory data is loaded into memory ([[Random Access Memory]] (RAM) or [[flash memory]]) instead of hard disks and therefore information technology (IT) staff spends less development time on [[data modeling]], query analysis, cube building and table design.<ref>{{cite book|last=Earls|first=A|title=Tips on evaluating, deploying and managing in-memory analytics tools|year=2011|publisher=Tableau|url=http://www.analyticsearches.com/site/files/776/66977/259607/579091/In-Memory_Analytics_11.10.11.pdf}}</ref>

== Traditional BI ==

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