DocumentCode :
3729241
Title :
Big database stores a review on various big data datastores
Author :
Koshy George;Tessy Mathew
Author_Institution :
Department of Computer Science and Engineering, Mar Baselios College of Engineering and Technology, Trivandrum, India
fYear :
2015
Firstpage :
567
Lastpage :
573
Abstract :
In this age where there is a massive explosion in the data in our surroundings, the traditional way of actually storing and processing the data is no longer feasible. Moreover, the unstructured data that is present cannot be processed by the conventional ways. With the emergence of this data explosion also known as Big Data, a lot of importance has given to actually process and more importantly analyze the data to get the best results being in terms of decision making or predicting the future evens based on the past data at hand. The traditional SQLs have become impractical to process the latest data inflow as it lacks the structure, elasticity requirements and the high scalability. NoSQL or what can be known as Not Only SQL actually help find by a way out of the traditional approach and help process the unstructured data. For Big Data to function at its best, it needs the help of specialized databases that help in storing and processing data when needed. There are 4 main categories of the Datastores used in Big Data namely Key-Value Pair Datastore, Column Oriented Datastore, Document Oriented Datastore and Graph Datastores.
Keywords :
"Big data","Databases","Peer-to-peer computing","Scalability","Explosions","Internet","Servers"
Publisher :
ieee
Conference_Titel :
Green Computing and Internet of Things (ICGCIoT), 2015 International Conference on
Type :
conf
DOI :
10.1109/ICGCIoT.2015.7380529
Filename :
7380529
Link To Document :
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