A Contrastive Study of Big Data Analytics Approaches and Tools with Simple Data analytics
Abstract & Details
Research Area
Computer Engineering(Big Data)
Keywords
Big data
data analytics
data storage procedure
big data landscape
hadoop
Hadoop Distributed File System(HDFS)
Business Intelligence (BI).
Abstract
This paper presents a contrastive study of traditional data and modern data . Data can exist in a variety of forms -- as numbers or text on pieces of paper, as bits and bytes stored in electronic memory, or as facts stored in a person's mind.. Moreover, data is present each and every place in the universe. There is no limit of the data present all over the universe. Since the day when human civilization starts, we always exist with some data. Our day to day life deals with some data with or without any reason. The data can be of any type like remembering someone's name or saving a playlist of thousands of songs. But, with the development of the human civilization the rapid growth of the data has already come into the existence. As we live in the twenty first century we exist with a new concept of data which is known as "BIG DATA". In last century the human civilization faced a new concept of manipulating data known as Data Analytics in order to make the business profitable and the life more simple that deals with large volume of data. In this paper we have discussed about different types of data, the problems in the traditional data analytics process. After that we discussed about what is big data and different parameters of big data. How the problems in traditional data analytics is being resolved by big data analytics also discussed in this paper.
License
This work is licensed under a Creative
Commons
Attribution-ShareAlike 4.0 International License.
Author Information
| # | Name | Institute / Affiliation |
|---|---|---|
| 1 | Preeti Jakhar | Satya College of Engineering and Technology |
| 2 | Aijaz Ul Haq | Satya College of Engineering and Technology |
How to Cite
Use the following formats to cite this article in your research.
APA Style
Jakhar, Preeti & Haq, Aijaz Ul (2016). A Contrastive Study of Big Data Analytics Approaches and Tools with Simple Data analytics. International Journal of Advance Research and Innovative Ideas In Education, 2(3), 3348-3355.
MLA Style
Jakhar, Preeti, and Aijaz Ul Haq. "A Contrastive Study of Big Data Analytics Approaches and Tools with Simple Data analytics." International Journal of Advance Research and Innovative Ideas In Education, vol. 2, no. 3, 2016, pp. 3348-3355.
IEEE Style
Preeti Jakhar and Aijaz Ul Haq, "A Contrastive Study of Big Data Analytics Approaches and Tools with Simple Data analytics," International Journal of Advance Research and Innovative Ideas In Education, vol. 2, no. 3, pp. 3348-3355, 2016.
Vancouver Style
Jakhar Preeti, Haq Aijaz Ul. A Contrastive Study of Big Data Analytics Approaches and Tools with Simple Data analytics. International Journal of Advance Research and Innovative Ideas In Education. 2016;2(3):3348-3355.
Harvard Style
Jakhar, Preeti & Haq, Aijaz Ul (2016) 'A Contrastive Study of Big Data Analytics Approaches and Tools with Simple Data analytics', International Journal of Advance Research and Innovative Ideas In Education, 2(3), pp. 3348-3355.
Chicago Style
Jakhar, Preeti and Aijaz Ul Haq. "A Contrastive Study of Big Data Analytics Approaches and Tools with Simple Data analytics." International Journal of Advance Research and Innovative Ideas In Education 2, no. 3 (2016): 3348-3355.
Turabian Style
Jakhar, Preeti and Aijaz Ul Haq. "A Contrastive Study of Big Data Analytics Approaches and Tools with Simple Data analytics." International Journal of Advance Research and Innovative Ideas In Education 2, no. 3 (2016): 3348-3355.
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