A Comprehensive Study on Big Data Processing with Apache Spark

Registration ID: IJNRD_218839

Published ID: IJNRD2404588

DOI: Click Here to Get

Vinod Jat , Suryansh Sharma , Rahul Sharma , Mohnish Sachdeva

Bigdata, Distributing data processing, Analyse, Spark, Pyspark, HDFS

The research paper explores emergence of Big Data has become a crucial force in the contemporary e-commerce landscape, causing a fundamental shift in the way businesses operate, engage with customers, and make strategic decisions. This study aims to explore the profound impact of Big Data on e-commerce, examining the various ways in which the vast amounts of data generated can be effectively utilized. The research focuses on extracting valuable insights, improving operational efficiency, and enhancing the overall customer experience. By navigating the complex interplay of technologies, challenges, and future trends in Big Data integration in e-commerce, this paper aims to provide a comprehensive understanding of the transformative forces at work in the digital marketplace. To achieve this goal, the study conducts an in-depth analysis of the technologies that support the harnessing of Big Data, addressing potential challenges that may hinder seamless integration, and forecasting future trends that will further shape the e-commerce landscape.

Published Paper   E-Certificate

Vinod Jat, Suryansh Sharma, Rahul Sharma, & Mohnish Sachdeva (April-2024). A Comprehensive Study on Big Data Processing with Apache Spark. INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT, 9(4), f732-f735. https://ijnrd.org/papers/IJNRD2404588.pdf

Volume 9 Issue 4, April-2024

Pages : f732-f735

Paper Reg. ID: IJNRD_218839

Published Paper Id: IJNRD2404588

Downloads: 000121994

Research Area: Computer Science & Technology 

Country: jaipur, Rajasthan, India

Published Paper PDF: https://ijnrd.org/papers/IJNRD2404588.pdf

Published Paper URL: https://ijnrd.org/viewpaperforall?paper=IJNRD2404588

Journal Name: INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT(IJNRD)

ISSN: 2456-4184 | IMPACT FACTOR: 8.76 Calculated By Google Scholar | ESTD YEAR: 2016

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Call For Paper - Volume 10 | Issue 10 | October 2025

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