The Big Data

A GROWING TORRENT OF TECHNOLOGY

Authors

  • More P. Department of Computers, Padmabhushan Vasantdada Patil Pratishthan’s College of Engineering, Mumbai
  • Chaudhary L Department of Computers, Padmabhushan Vasantdada Patil Pratishthan’s College of Engineering, Mumbai
  • Panmand S. Department of Computers, Padmabhushan Vasantdada Patil Pratishthan’s College of Engineering, Mumbai
  • Shah N Department of Computers, Padmabhushan Vasantdada Patil Pratishthan’s College of Engineering, Mumbai

Keywords:

Large Datasets, Infinite Data Information, Advanced Data Warehouse

Abstract

Demand and spurt in collections and accumulation of data has coined new term “Big Data” has begun. Accidently, incidentally and by interaction of people, information so called data is massively generated. This BIG DATA is to be smartly and effectively used Computer scientists, physicists, economists, mathematicians, political scientists, bio-informaticists, sociologists and many Variety of Intellegesia debate over the potential benefits and costs of analysing information from Twitter, Google, Facebook, Wikipedia and every space where large groups of people leave digital traces and deposit data. Given the rise of Big Data as both a phenomenon and a methodological persuasion, it is time to start critically interrogating this phenomenon, its assumptions and its biases. Big Data, which refers to the data sets that are too big to be handled using the existing database management tools, are emerging in many important applications, such as Internet search, business informatics, social networks, social media, genomics, and meteorology. Big Data presents a grand challenge for database and data analytics research. This paper is a blend of non-technical and introductory-level technical detail, ideal for the novice. We conclude with some technical challenges as well as the solutions that can be used to these challenges. Big Data differs from other data with five characteristics like volume, variety, value, velocity and complexity. The article will focus on some current and future cases and causes for BIG DATA.

References

http://www-01.ibm.com/software/data/bigdata/

www.sas.com/resources/asset/SAS_BigData_final.pdf

http://www.sas.com/big-data

http://my.safaribooksonline.com/book/technology-management/9780596803582/big-data-technologies-and-techniques-for-large-scale-data/why_big_data_matters

theprofessionalspoint.blogspot.in/2012/12/real-time-big-data-defination-need-uses.html

http://blog.softwareinsider.org/2012/02/27/mondays-musings-beyond-the-three-vs-of-big-data-viscosity-and-virality/

cra.org/ccc/docs/init/Big_Data.doc

www.oracle.com/technetwork/topics/entarch/articles/oea-big-data-guide-1522052.pdf

www.journalistsresource.org/wp-content/uploads/2013/03/MGI_big_data_full_detail.pdf

www54.sap.com/solution/big-data.html

www.ibm.com/systems/x/solutions/analytics/bigdata.html

www.forbes.com/sites/netapp/2012/11/06/big-data-election-surprising-starts

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Published

2024-02-26

How to Cite

More, P., Chaudhary, L., Panmand, S., & Shah, N. (2024). The Big Data: A GROWING TORRENT OF TECHNOLOGY. COMPUSOFT: An International Journal of Advanced Computer Technology, 2(05), 130–135. Retrieved from https://ijact.in/index.php/j/article/view/25

Issue

Section

Review Article

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