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Using In-Memory Analytics to Quickly Crunch Big Data
Oct. 2012 (vol. 45 no. 10)
pp. 16-18
ASCII Text
x 
 
Lee Garber, "Using In-Memory Analytics to Quickly Crunch Big Data," Computer, vol. 45, no. 10, pp. 16-18, Oct., 2012.
 
 
BibTex
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@article{ 10.1109/MC.2012.358,
author = {Lee Garber},
title = {Using In-Memory Analytics to Quickly Crunch Big Data},
journal ={Computer},
volume = {45},
number = {10},
issn = {0018-9162},
year = {2012},
pages = {16-18},
doi = {http://doi.ieeecomputersociety.org/10.1109/MC.2012.358},
publisher = {IEEE Computer Society},
address = {Los Alamitos, CA, USA},
}
 
 
RefWorks Procite/RefMan/Endnote
x 
 
TY - MGZN
JO - Computer
TI - Using In-Memory Analytics to Quickly Crunch Big Data
IS - 10
SN - 0018-9162
SP16
EP18
EPD - 16-18
A1 - Lee Garber,
PY - 2012
KW - storage
KW - big data
KW - analytics
KW - in-memory analytics
KW - RAM
KW - main memory
KW - disk
VL - 45
JA - Computer
ER -
 
In-memory analytics—which probes data stored in RAM rather than on disk, as is traditionally the case—is becoming popular because it speeds up the analysis process, even as data volumes explode.
Index Terms:
storage,big data,analytics,in-memory analytics,RAM,main memory,disk
Citation:
Lee Garber, "Using In-Memory Analytics to Quickly Crunch Big Data," Computer, vol. 45, no. 10, pp. 16-18, Oct. 2012, doi:10.1109/MC.2012.358
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