Big Data Analytics in Cloud Computing: A Comparative Study of Different Approaches

Big Data Analytics in Cloud Computing: A Comparative Study of Different Approaches

Registration ID: IJNRD_214433

Published ID: IJNRD2403050

DOI: Click Here to Get

SAKSHI GUPTA , DR. SHIKHA TIWARI , Vijay Singh

Big Data Analytics, Cloud Computing, Comparative Study, Hadoop, Spark, Storm, Google BigQuery, Scalability, Fault Tolerance, Real-time Processing, Serverless Architecture, SQL Support, Machine Learning Integration, Data Warehousing, Batch Processing, Stream Processing, Data Integration, Cost Efficiency, Data Security, Customer Segmentation, Product Performance Analysis, Sales Trend Analysis, Regional Analysis.

This study presents a comparative analysis of various approaches to big data analytics in cloud computing. We begin by examining Hadoop, known for its scalability and reliability in processing large datasets. Spark is explored for its in-memory processing capabilities and suitability for both batch and stream processing workloads. Storm's specialization in real-time stream processing with low latency is highlighted, along with its scalability and fault tolerance features. Additionally, Google's BigQuery, a fully-managed data warehouse solution, is discussed for its seamless scalability, SQL support, and integration with AI tools. Through practical experiments including customer segmentation, product performance analysis, and sales trend analysis, the study illustrates the diverse applications and benefits of each approach. Ultimately, this comparative study provides insights into the strengths, limitations, and practical implications of different big data analytics approaches, empowering organizations to make informed decisions to optimize their analytics workflows in cloud computing environments.

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"Big Data Analytics in Cloud Computing: A Comparative Study of Different Approaches", IJNRD - INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT (www.IJNRD.org), ISSN:2456-4184, Vol.9, Issue 3, page no.a448-a459, March-2024, Available :https://ijnrd.org/papers/IJNRD2403050.pdf

Volume 9 Issue 3, March-2024

Pages : a448-a459

Paper Reg. ID: IJNRD_214433

Published Paper Id: IJNRD2403050

Downloads: 000121161

Research Area: Science & Technology

Country: JASHPUR, CHHATISGARH, India

Published Paper PDF: https://ijnrd.org/papers/IJNRD2403050.pdf

Published Paper URL: https://ijnrd.org/viewpaperforall?paper=IJNRD2403050

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

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

An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.76 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator

Publisher: IJNRD (IJ Publication) Janvi Wave

This work is licensed under a Creative Commons Attribution 4.0 International License and The Open Definition

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