Big Data Analytics for Industry Oriented Education System: An Evolution of Sustainable Education Model

Author(s):  
Gautami Tripathi ◽  
Zeeshan Ali Haq

Big Data storm has reached all most in every sector whether be public or private and is an important decision making factor for the administration or governing body of any system or organization, because with the advancements in technologies, various public, private, and social organizations are creating or exchanging a huge volume of data through different sources in various formats. Big Data can be applied in various sectors of India, wherein one of the essential sectors is education system where Big Data analytics is slowly and steadily finding its place for betterment of the services being provided by this system. India has one of the biggest school systems in the world which is spread over different states of the country and one part of this system is functional in one of the northern states of India known as Jammu and Kashmir (J&K). This study is based on Big Data management and analysis in School Education System of J&K. In the area of School Education in J&K, computers are finding an important place for data management as well as imparting learning through digital means. There is a need of applying Big Data technologies to various aspects of the School Education in J&K, as huge amount of data with variety and high frequency of generation is available in the institutes under this system. This paper will analyze various aspects of Big Data management and analysis system for School Education of J&K. This paper will also highlight the current scenarios of School Education System of J&K in handling Big Data such as sources of Big Data, Scope of Big Data analytics in School Education System of J&K, opportunities of Big Data analytics, challenges and issues that can be faced in this system, Applications of Big Data analytics in School Education of J&K, and finally discussing the proposed architecture of Big Data management and analysis system for School Education of J&K.


2019 ◽  
Vol 54 (5) ◽  
pp. 20
Author(s):  
Dheeraj Kumar Pradhan

2020 ◽  
Vol 49 (5) ◽  
pp. 11-17
Author(s):  
Thomas Wrona ◽  
Pauline Reinecke

Big Data & Analytics (BDA) ist zu einer kaum hinterfragten Institution für Effizienz und Wettbewerbsvorteil von Unternehmen geworden. Zu viele prominente Beispiele, wie der Erfolg von Google oder Amazon, scheinen die Bedeutung zu bestätigen, die Daten und Algorithmen zur Erlangung von langfristigen Wettbewerbsvorteilen zukommt. Sowohl die Praxis als auch die Wissenschaft scheinen geradezu euphorisch auf den „Datenzug“ aufzuspringen. Wenn Risiken thematisiert werden, dann handelt es sich meist um ethische Fragen. Dabei wird häufig übersehen, dass die diskutierten Vorteile sich primär aus einer operativen Effizienzperspektive ergeben. Strategische Wirkungen werden allenfalls in Bezug auf Geschäftsmodellinnovationen diskutiert, deren tatsächlicher Innovationsgrad noch zu beurteilen ist. Im Folgenden soll gezeigt werden, dass durch BDA zwar Wettbewerbsvorteile erzeugt werden können, dass aber hiermit auch große strategische Risiken verbunden sind, die derzeit kaum beachtet werden.


2019 ◽  
Vol 7 (2) ◽  
pp. 273-277
Author(s):  
Ajay Kumar Bharti ◽  
Neha Verma ◽  
Deepak Kumar Verma

2017 ◽  
Vol 49 (004) ◽  
pp. 825--830
Author(s):  
A. AHMED ◽  
R.U. AMIN ◽  
M. R. ANJUM ◽  
I. ULLAH ◽  
I. S. BAJWA

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