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| Tim Kraska, "Finding the Needle in the Big Data Systems Haystack," IEEE Internet Computing, vol. 17, no. 1, pp. 84-86, Jan.-Feb., 2013. | |||
| BibTex | x | ||
| @article{ 10.1109/MIC.2013.10, author = {Tim Kraska}, title = {Finding the Needle in the Big Data Systems Haystack}, journal ={IEEE Internet Computing}, volume = {17}, number = {1}, issn = {1089-7801}, year = {2013}, pages = {84-86}, doi = {http://doi.ieeecomputersociety.org/10.1109/MIC.2013.10}, publisher = {IEEE Computer Society}, address = {Los Alamitos, CA, USA}, } | |||
| RefWorks Procite/RefMan/Endnote | x | ||
| TY - MGZN JO - IEEE Internet Computing TI - Finding the Needle in the Big Data Systems Haystack IS - 1 SN - 1089-7801 SP84 EP86 EPD - 84-86 A1 - Tim Kraska, PY - 2013 KW - Information management KW - Data handling KW - Data storage systems KW - Indexes KW - OLAP KW - big data KW - mapreduce KW - key/value stores KW - analytic systems KW - database KW - OLTP VL - 17 JA - IEEE Internet Computing ER - | |||
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/MIC.2013.10
With the increasing importance of big data, many new systems have been developed to "solve" the big data challenge. At the same time, famous database researchers argue that there is nothing new about these systems and that they're actually a step backward. This article sheds some light on this discussion.
Index Terms:
Information management,Data handling,Data storage systems,Indexes,OLAP,big data,mapreduce,key/value stores,analytic systems,database,OLTP
Citation:
Tim Kraska, "Finding the Needle in the Big Data Systems Haystack," IEEE Internet Computing, vol. 17, no. 1, pp. 84-86, Jan.-Feb. 2013, doi:10.1109/MIC.2013.10
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