Big Data Model for Financial Assistance to Students- A Paradigm Shift
Harinder Pal Singh1, Harpreet Singh2, Jang Bahadur Singh3
1Harinder Pal Singh*, Department of ECE, Desh Bhagat University Mandigobindgarh, India.
2Harpreet Singh,Department of Electrical and Computer Engineering, Wayne State University Detroit, USA.
3Jang Bahadur Singh,, Department of ECE Desh Bhagat University Mandi Gobind Garh, India.

Manuscript received on April 30, 2020. | Revised Manuscript received on May 10, 2020. | Manuscript published on May 30, 2020. | PP: 1716-1721 | Volume-9 Issue-1, May 2020. | Retrieval Number: A2667059120/2020©BEIESP | DOI: 10.35940/ijrte.A2667.059120
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Abstract: Big Data Technologies for managing huge amounts of student data which is rising exponentially year after year specially in the countries like India, where there is a large no of young population is a need not luxury. Many students are searching for courses of their choice and for funding their education interests they look for scholarships. There are many scholarship schemes available for students of different status in the society. Educational institutions look for solutions to handle large amount of student data ranging from enrollments, scholarships, academic content, literature search, testing, results and finally placements. Such data require a lot of integrity and scalability. Memory saving schema for hardware and software platforms for the needy Universities and Colleges along with lot of mobility for their executives to access and analyze such data remain in focus. In this paper a new data base model has been suggested using modern day Big Data technologies rather than using conventional database technologies to handle complex data generated through student activity which can be analyzed to reach decisions. New model suggested after testing real time data sets of scholarships management of technical education system. Lot of memory and cost has been saved along with achieving data integrity, security and improvement in response time. 
Keywords: Big Data Technologies, Big Data Model, Data analytics,, Educational Data, Student Scholarships, Student Data management, Technical Education data
Scope of the Article: Data Management