Big Data: Study in Structured and Unstructured Data


Motashim Rasool; Wasim Khan

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HCTL Open International Journal of Technology Innovations and Research (IJTIR), eISSN: 2321-1814

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Volume 14, April 2015, ISBN:978-1-62951-946-3.

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© 2015 by the Authors; Licensed by HCTL Open, India.

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This article is an open-access article distributed under the terms and conditions of the Creative Commons Attribution 4.0 International License.


With the overlay of digital world, Information is available in the form of massive data. This Huge amount of data is generated as a rapid rate which may exceed the capacity of online storage. There are many sources that generate such large and unstructured data such as Social Media sites, Scientific Data, Engineering and Technologies, Government Data and many other activities which advances the scientific and technical world. Earlier we work on Structured Data and are manage easily by traditional databases. There are many algorithms and procedures to operate on structured data but at present structured data are overlaid by unstructured data. Information or data are originated at a very high speed which is surpassing the limit of online data storage. Big data is the answer to this giant data problem. In this paper, first we study the privacy concern of big data, Big Data consistencies and inconsistencies and approach to address Big Data Problem using Hadoop File System.


Unstructured data, Big Data, privacy issues, Inconsistencies, HDFS, Map Reduce.

Cite this Article

Motashim Rasool; Wasim Khan, Big Data: Study in Structured and Unstructured Data, HCTL Open International Journal of Technology Innovations and Research (IJTIR), Volume 14, April 2015, eISSN: 2321-1814, ISBN (Print): 978-1-62951-946-3.

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