This paper is published in Volume-5, Issue-1, 2019
Area
Data Science
Author
Akash Ajay Borse, Siddhant Verma, Dr. Sasidhar Babu, Gardas Naresh Kumar
Org/Univ
Sandip University, Nashik, Maharashtra, India
Keywords
Service Oriented Architecture, Maturity, Business Intelligence, Event-driven
Citations
IEEE
Akash Ajay Borse, Siddhant Verma, Dr. Sasidhar Babu, Gardas Naresh Kumar. Service Oriented Architecture paradigm for Business Intelligence: A survey, International Journal of Advance Research, Ideas and Innovations in Technology, www.IJARIIT.com.
APA
Akash Ajay Borse, Siddhant Verma, Dr. Sasidhar Babu, Gardas Naresh Kumar (2019). Service Oriented Architecture paradigm for Business Intelligence: A survey. International Journal of Advance Research, Ideas and Innovations in Technology, 5(1) www.IJARIIT.com.
MLA
Akash Ajay Borse, Siddhant Verma, Dr. Sasidhar Babu, Gardas Naresh Kumar. "Service Oriented Architecture paradigm for Business Intelligence: A survey." International Journal of Advance Research, Ideas and Innovations in Technology 5.1 (2019). www.IJARIIT.com.
Akash Ajay Borse, Siddhant Verma, Dr. Sasidhar Babu, Gardas Naresh Kumar. Service Oriented Architecture paradigm for Business Intelligence: A survey, International Journal of Advance Research, Ideas and Innovations in Technology, www.IJARIIT.com.
APA
Akash Ajay Borse, Siddhant Verma, Dr. Sasidhar Babu, Gardas Naresh Kumar (2019). Service Oriented Architecture paradigm for Business Intelligence: A survey. International Journal of Advance Research, Ideas and Innovations in Technology, 5(1) www.IJARIIT.com.
MLA
Akash Ajay Borse, Siddhant Verma, Dr. Sasidhar Babu, Gardas Naresh Kumar. "Service Oriented Architecture paradigm for Business Intelligence: A survey." International Journal of Advance Research, Ideas and Innovations in Technology 5.1 (2019). www.IJARIIT.com.
Abstract
Service Oriented Architecture (SOA) is an arrangement of building blocks of any application in such a way that all dependent/independent components will be able to access/provide service to and from other components. The main objective of SOA is to sustain the availability of required services for components and provide a flexible environment for better efficiency. It is also capable of measuring the maturity of an organizational application by means of continuous assessment of activities. SOA in Business Intelligence (BI) has potential benefit to enhance the analysis capabilities over huge datasets, as enormous amounts of data are being generated by every organization whether industrial or domestic. This survey provides research on how SOA can improve the heavy processing of these data much efficiently and also gives the limitations of the traditional approach.