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)
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.
Keywords:
Big data, Big Analytics, Map Reduce, HDFS, Hadoop, Apache-Spark.
Cite Article:
"Exploring Big Data Analytics: A Study, Research, and Review of the Hadoop Ecosystem", International Journal of Novel Research and Development (www.ijnrd.org), ISSN:2456-4184, Vol.8, Issue 11, page no.a691-a697, November-2023, Available :http://www.ijnrd.org/papers/IJNRD2311076.pdf
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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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