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 [15]. This method provides a scalable and economical means of handling huge datasets. Distributed computing enables faster ...

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