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ISSN Approved Journal No: 2456-4184 | Impact factor: 8.76 | ESTD Year: 2016
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Paper Title: An Analysis on Big Data Interrogation, Explore Problems and Tools
Authors Name: Dr.S.Brindha , Dr.S.Sukumaran
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Published Paper Id: IJNRD2006033
Published In: Volume 5 Issue 6, June-2020
Abstract: The Analysis of Big Data datasets is an interdisciplinary endeavor that blends mathematics, statistics, computer science, and subject matter expertise. This mixture of skill sets and prospective has led to some confusion as to what comprises the field of Big Data and its analysis. The boundaries of what constitutes a Big Data problem are also changing due to the ever shifting and advancing landscape of software and hardware technology. This is due to the fact that the definition of Big Data takes into account that impact of the data’s characteristics on the design of the solution environment. Most of the scientific departments like astronomy, energy effect physics, medical effectiveness, produce petatypes of data that must be shared with collaborators all over the world. Based on the research of the National Science Foundation supported International Research Network Connection links have been most important to enable the data, but as data transformation has increased so has the amount of information being collected to understand network to be maintained. New capabilities to measure and analyze the performance of international wide-area networks are essential to ensure end-users are able to take full advantage of such infrastructure for their big data applications. This paper supports to analysis of Different Big Data Methods and Algorithms to find the Big Data Interrogation, Explore problems and Tools.
Keywords: Big Data, Datasets, Data Acquisition and Filtering, Data Extraction
Cite Article: "An Analysis on Big Data Interrogation, Explore Problems and Tools ", International Journal of Novel Research and Development (www.ijnrd.org), ISSN:2456-4184, Vol.5, Issue 6, page no.303-310, June-2020, Available :http://www.ijnrd.org/papers/IJNRD2006033.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
Publication Details: Published Paper ID:IJNRD2006033
Registration ID: 180319
Published In: Volume 5 Issue 6, June-2020
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Page No: 303-310
Country: Erode, TamilNadu, India
Research Area: Computer Science & Technology 
Publisher : IJ Publication
Published Paper URL : https://www.ijnrd.org/viewpaperforall?paper=IJNRD2006033
Published Paper PDF: https://www.ijnrd.org/papers/IJNRD2006033
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ISSN: 2456-4184
Impact Factor: 8.76 and ISSN APPROVED
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