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Machines that stores and process data had been in the works for a long time, as the volume of data increased so did the capacity of the machines to handle those data. The notion of big data came into light during the early days of internet when machines not only store and process data but also generate a huge volume of information too. We stared to get very large volumes of dataset beyond the capacity...
For faster growing environment there is a need to analyze sentiments with accurate results and limited time consumption. Hadoop architecture uses sentimental data for processing. As it needs large amount of data for analysis so it requires techniques that can give fast and accurate result. Bloom filter has techniques that uses the database and build a log that can be used for searching results faster...
This paper presents a scientometric analysis of research work done on the emerging area of ‘Big Data’ during the recent years. Research on ‘Big Data’ started during last few years and within a short span of time has gained tremendous momentum. It is now considered one of the most important emerging areas of research in computational sciences and related disciplines. We have analyzed the research output...
In recent time, HBase is growing with its requirement as data exploding in E-world. Hadoop provide distributed manner and taking technology to next level as it is using HBase to store bulk data. HBase works with Hadoop to transfer data to datanodes. As traditionally large file need to split for performing operations but MapReduce provide facility to do operations on single file. This paper providing...
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