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INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT International Peer Reviewed & Refereed Journals, Open Access Journal ISSN Approved Journal No: 2456-4184 | Impact factor: 8.76 | ESTD Year: 2016 Scholarly open access journals, Peer-reviewed, and Refereed Journals, Impact factor 8.76 (Calculate by google scholar and Semantic Scholar | AI-Powered Research Tool) , Multidisciplinary, Monthly, Indexing in all major database & Metadata, Citation Generator, Digital Object Identifier(DOI) |
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| Paper Title: | Big Data Analytics in Cloud Computing: A Comparative Study of Different Approaches |
| Authors Name: | SAKSHI GUPTA , DR. SHIKHA TIWARI , Vijay Singh |
| Download E-Certificate: | Download |
| Author Reg. ID: |
IJNRD_214433
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| Published Paper Id: | IJNRD2403050 |
| Published In: | Volume 9 Issue 3, March-2024 |
| DOI: | |
| Abstract: | 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. |
| Keywords: | 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. |
| Cite Article: | "Big Data Analytics in Cloud Computing: A Comparative Study of Different Approaches", International Journal of Novel Research and Development (www.ijnrd.org), ISSN:2456-4184, Vol.9, Issue 3, page no.a448-a459, March-2024, Available :http://www.ijnrd.org/papers/IJNRD2403050.pdf |
| Downloads: | 00054 |
| 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 |
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Published Paper ID:IJNRD2403050 Registration ID: 214433 Published In: Volume 9 Issue 3, March-2024 DOI (Digital Object Identifier): Page No: a448-a459 Country: JASHPUR, CHHATISGARH, India Research Area: Science & Technology Publisher : IJ Publication Published Paper URL : https://www.ijnrd.org/viewpaperforall?paper=IJNRD2403050 Published Paper PDF: https://www.ijnrd.org/papers/IJNRD2403050 |
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ISSN: 2456-4184
Impact Factor: 8.76 and ISSN APPROVED
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