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A Survey on Big Data Storage

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File Size:
877.15 kB
Volume:
Volume 4, Issue 5 (May, 2018)
Publication No:
IJTC201805001
Author:
Gagandeep Kaur, Maninder Kaur, Vijay Paul Singh
Downloads:
15 x

Abstract:
In the 21st century digital data generated from various sources and growing exponentially. Generated data from various sources are in the different format such as structure, unstructured & semi-structured and huge in size (GB, PB, TB etc). This types of data are complex in nature which cannot be stored by traditional databases. Traditional databases get slow, expensive and gives degrade performance, in the form storing, processing & analysis.. To handle Big data Hadoop is introduced by Apache, which can store different type of data in seconds and it is quite better than traditional storage databases. In this paper, we survey on traditional databases storage vs hadoop.

Keywords:
HDFS, MapReduce, Hadoop, Processing, Storing.