UGC Approved Journal no 63975(19)

ISSN: 2349-5162 | ESTD Year : 2014
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Published in:

Volume 6 Issue 6
June-2019
eISSN: 2349-5162

UGC and ISSN approved 7.95 impact factor UGC Approved Journal no 63975

7.95 impact factor calculated by Google scholar

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Published Paper ID:
JETIR1907V97


Registration ID:
224700

Page Number

639-644

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Title

HYBRID APPROACH FOR MULTIMEDIA INFORMATION RETRIEVAL USING BIG DATA

Abstract

Structured data, typically, is predefined data. Semi-structured and unstructured data are not predefined data that includes documents, emails, social media posts, images, videos, etc. Digital world is growing very fast and become more complex in the volume (terabyte to petabyte), variety (structured and un-structured and hybrid), velocity (high speed in growth) in nature. A vast amount of research work has been done in the multimedia area, targeting different aspects of big data analytics, such as the capture, storage, indexing, mining, and retrieval of multimedia big data. It also aims to bridge the gap between multimedia challenges and big data solutions by providing the current big data frameworks, their applications in multimedia analyses, the strengths and limitations of the existing methods, and the potential future directions in multimedia big data analytics. In this paper discuss two approaches to data integration between relational and Oracle databases: native and hybrid solutions explained on the example of integration transactional data from Oracle databases with data stored in MongoDB.

Key Words

Structured data, typically, is predefined data. Semi-structured and unstructured data are not predefined data that includes documents, emails, social media posts, images, videos, etc. Digital world is growing very fast and become more complex in the volume (terabyte to petabyte), variety (structured and un-structured and hybrid), velocity (high speed in growth) in nature. A vast amount of research work has been done in the multimedia area, targeting different aspects of big data analytics, such as the capture, storage, indexing, mining, and retrieval of multimedia big data. It also aims to bridge the gap between multimedia challenges and big data solutions by providing the current big data frameworks, their applications in multimedia analyses, the strengths and limitations of the existing methods, and the potential future directions in multimedia big data analytics. In this paper discuss two approaches to data integration between relational and Oracle databases: native and hybrid solutions explained on the example of integration transactional data from Oracle databases with data stored in MongoDB.

Cite This Article

"HYBRID APPROACH FOR MULTIMEDIA INFORMATION RETRIEVAL USING BIG DATA ", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.6, Issue 6, page no.639-644, June 2019, Available :http://www.jetir.org/papers/JETIR1907V97.pdf

ISSN


2349-5162 | Impact Factor 7.95 Calculate by Google Scholar

An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 7.95 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator

Cite This Article

"HYBRID APPROACH FOR MULTIMEDIA INFORMATION RETRIEVAL USING BIG DATA ", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.6, Issue 6, page no. pp639-644, June 2019, Available at : http://www.jetir.org/papers/JETIR1907V97.pdf

Publication Details

Published Paper ID: JETIR1907V97
Registration ID: 224700
Published In: Volume 6 | Issue 6 | Year June-2019
DOI (Digital Object Identifier):
Page No: 639-644
Country: shegaon, maharashtra, India .
Area: Science & Technology
ISSN Number: 2349-5162
Publisher: IJ Publication


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