Survey on Big Data Analytics |
Author(s): |
| Mrs. Kanchan Ashish Khedikar , Walchand Institute of Technology, Solapur; Dr. Bhagwan Shree Ram , MVJ College of Engineering, Bengaluru; Dr. Rajesh S. L., Jain University Bangalore; Swathi. K, Swathi. K AssistantK. S. Institute of Technology, Bengaluru |
Keywords: |
| Big Data, Big Data Analytics, Volume, Velocity, Cost-Effective |
Abstract |
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Big data is still an puzzle to many people. It’s a relatively new term that was only coined during the latter part of the last decade. While it may still be ambiguous to many people. Big data doesn’t just refer to the enormous amount of data available today, it also refers to the whole process of gathering, storing and analyzing that data. To know the BDA (Big Data Analytics) we must know the Big Data. Gartner's big data definition is "high-volume, velocity and variety information assets that demand cost-effective, innovative forms of information processing for enhanced insight and decision making. This definition contains 3 parts. First part is 3Vs" the extreme volume of data, the wide variety of data types and the velocity of data processing. Second part is about using innovative processes, and the third part is to find useful information for making future decision. The term big data often refers to the use of predictive analytics or certain other advanced data analytics methods that extract value from data. Big Data Analytics is increasingly becoming a trending practice that many organizations are adopting Now a days the use of big data and data analytics is in Security, Defense, Public Safety organizations and intelligence agencies is on the rise, mostly because the world is becoming more digital and connected. Big data and data analytics technologies can increase the investigative capabilities of intelligence organizations in many relevant aspects. This paper focus on the why big data analytics is necessary in today's world. This survey paper also focuses on the challenges of big data, big data technologies. |
Other Details |
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Paper ID: IJSRDV6I80115 Published in: Volume : 6, Issue : 8 Publication Date: 01/11/2018 Page(s): 266-269 |
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