Paper Title

Exploring Big Data Analytics: A Study, Research, and Review of the Hadoop Ecosystem

Article Identifiers

Registration ID: IJNRD_208307

Published ID: IJNRD2311076

DOI: Click Here to Get

Authors

Gaurav Prajapati , Yakshata Poojari

Keywords

Big data, Big Analytics, Map Reduce, HDFS, Hadoop, Apache-Spark.

Abstract

Big Data Analytics, essential in the era of data abundance, involves the intricate analysis and extraction of insights from diverse datasets, including structured, unstructured, and semi-structured data. This report provides a comprehensive overview of the burgeoning field of Big Data, which surpasses the processing capabilities of traditional database tools. Big Data plays an increasingly pivotal role in a variety of domains, from Internet search and business informatics to social networks, genomics, and meteorology. However, managing and analyzing these immense datasets presents substantial challenges in the realm of database and data analytics research. Within this presentation, we delve into the compelling research efforts aimed at tackling the Big Data challenge. We explore the techniques underpinning the analysis of Big Data, with a particular focus on the Hadoop platform and its MapReduce algorithm, which facilitates distributed application implementation. Given Hadoop's prominence in Big Data applications, this report offers an in-depth examination of its architecture and components, showcasing its ability to seamlessly scale from single servers to thousands of machines while maintaining a robust fault tolerance mechanism.

How To Cite (APA)

Gaurav Prajapati & Yakshata Poojari (November-2023). Exploring Big Data Analytics: A Study, Research, and Review of the Hadoop Ecosystem. INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT, 8(11), a691-a697. https://ijnrd.org/papers/IJNRD2311076.pdf

Issue

Volume 8 Issue 11, November-2023

Pages : a691-a697

Other Publication Details

Paper Reg. ID: IJNRD_208307

Published Paper Id: IJNRD2311076

Downloads: 000122006

Research Area: Computer Science & Technology 

Country: Kalyan, Maharashtra, India

Published Paper PDF: https://ijnrd.org/papers/IJNRD2311076.pdf

Published Paper URL: https://ijnrd.org/viewpaperforall?paper=IJNRD2311076

About Publisher

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

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

IJNRD is a Scholarly Open Access, Peer-reviewed, and Refereed Journal with a High Impact Factor of 8.76 (calculated by Google Scholar & Semantic Scholar | AI-Powered Research Tool). It is a Multidisciplinary, Monthly, Low-Cost Journal that follows UGC CARE 2025 Peer-Reviewed Journal Policy norms, Scopus journal standards, and Transparent Peer Review practices to ensure quality and credibility. IJNRD provides indexing in all major databases & metadata repositories, a citation generator, and Digital Object Identifier (DOI) for every published article with full open-access visibility.

The INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT (IJNRD) aims to advance applied, theoretical, and experimental research across diverse fields. Its goal is to promote global scientific information exchange among researchers, developers, engineers, academicians, and practitioners. IJNRD serves as a platform where educators and professionals can share research evidence, models of best practice, and innovative ideas, contributing to academic growth and industry relevance.

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Important Dates for Current issue

Paper Submission Open For: October 2025

Current Issue: Volume 10 | Issue 10 | October 2025

Impact Factor: 8.76

Last Date for Paper Submission: Till 31-Oct-2025

Notification of Review Result: Within 1-2 Days after Submitting paper.

Publication of Paper: Within 01-02 Days after Submititng documents.

Frequency: Monthly (12 issue Annually).

Journal Type: IJNRD is an International Peer-reviewed, Refereed, and Open Access Journal with Transparent Peer Review as per the new UGC CARE 2025 guidelines, offering low-cost multidisciplinary publication with Crossref DOI and global indexing.

Subject Category: Research Area

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