Implementation of Live Data Analytics using Machine Learning Techniques and FPGA
Arun Kumar D R1, Lokesh M2, B Sumangala3
1Arun Kumar D R, Computer Science & Engineering, Sri Venkateshwara College of Engineering, Bengaluru, India.
2Lokesh M, Computer Science & Engineering, Sri Venkateshwara College of Engineering, Bengaluru, India.
3 B Sumangala, Computer Science & Engineering, Sri Venkateshwara College of Engineering, Bengaluru, India
Manuscript received on 02 June 2019 | Revised Manuscript received on 10 June 2019 | Manuscript published on 30 June 2019 | PP: 863-865 | Volume-8 Issue-8, June 2019 | Retrieval Number: G5351058719/19©BEIESP
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: Data Analytics is a buzz word for last 3 years in IT world. Data Analytics changed the shape of IT applications. Data Analysts positions are increasing day by day in all IT companies. The analytics era also open doors to young entrepreneurs to start startups purely based on Data Analytics. The Applications of data analytics is not limited to IT , people from other industries started thinking how they can make use this data analytics to give best throughput. Market is also dependent on cloud as well to store their data instead of buying and storing data in physical servers. It opened Doors to all Industries not only IT to work on Data Analytics. TO give an example in Aerospace Industry in order to maintain data of Non Destructive Testing and use it for periodic tests before they used to go with traditional methods to store data in Books and do the calculation when they want. Now the Applications are developed such a way that the Data Will be stored in Cloud, when one aircraft come for NDT(Non Destructive Testing) instead of wasting time to know about previous test details parallel while doing test the people can compare with previous results using any of the analytical methods . They could save time as well as money. In this Research Paper it is one more step ahead on How to Process Live Data Before storing into Cloud? It will redundant data in cloud and also avoid unnecessary memory wastage. Accessing live Data is not that much easy but still in detailed methods has to be incorporated in order to access live data. The major focus in this research has been taken on the Social Networking Sites where now a day’s most of the illegal issues are taking place. So in order to identify this problems in this paper few techniques has been identified based on severity of the issues.
Keyword: Aircraft, Cloud Computing, Data Analytics, Memory, Nondestructive Testing.
Scope of the Article: Artificial Intelligence and Machine Learning.