3The Impact of Distributed Computing on Data Analytics and Business Insights
Haider Mehraj1, Vinay K. Nassa2, A.S.K. Reddy3, K.V.D. Sagar4, Dilip K. Sharma5, Shyamasundar Tripathy6, and Franklin J. Selvaraj7
1Department of Electronics and Communication Engineering, Baba Ghulam Shah Badshah University, Rajouri, Jammu and Kashmir, India
2Rajarambapu Institute of Technology, Walwa, Maharashtra, India
3Department of CS and AI, SR University, Warangal, Telangana, India
4Koneru Lakshmaiah Education Foundation, KL University, Guntur, Andhra Pradesh, India
5Department of Mathematics, Jaypee University of Engineering and Technology, Guna, Madhya Pradesh, India
6KL Business School, Koneru Lakshmaiah Education Foundation, Guntur, Andhra Pradesh, India
7Vignana Jyothi Institute of Management, Department of Marketing, Hyderabad, India
3.1 Introduction
For businesses of all sizes, data analytics has emerged as a critical component of corporate strategy. Due to this, distributed computing has emerged, providing a scalable and effective method for handling huge data collections. The ability to analyze vast volumes of data and derive insightful conclusions is essential for organizational success in today’s data-driven business environment. Traditional data analysis techniques have grown increasingly inadequate due to the exponential expansion of data from numerous sources [1–5]. This method provides a scalable and economical means of handling huge datasets. Distributed computing enables faster ...
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