UGC Approved Journal no 63975(19)

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

Volume 6 Issue 5
May-2019
eISSN: 2349-5162

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

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Published Paper ID:
JETIRDA06007


Registration ID:
221492

Page Number

28-32

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Title

MONGO DB FOR DATA AS A SERVICE

Abstract

Relational databases are used store financial records, keep track of inventory and to keep records on employees. In a relational database, information is stored in tables. The expensive of setting up and maintaining the database system Advances in the complexity of information databases have limits on field lengths and type. Mongo DB is a cross-platform document-oriented database program, Classified as a NoSQL database program and Mongo DB uses JSON-like documents with schema. It is non relational database technologies which arose under the NoSQL banner for use in big data applications and other processing jobs involving data that doesn't fit well in a rigid relational model Document databases store semi-structured data and descriptions of that data in document format. They allow developers to create and update programs without needing to reference master schema. Document databases are used for content management and mobile application data handling. Mongo DB has developed a tried and tested approach to constructing an Operational Data Layer. This process for constructing an Operational Data Layer has been successfully implemented with many customers. A successfully implemented ODL is a springboard for agile implementation of new business requirements.

Key Words

Document-based , NoSQL, Time stamp, scalability , Sharding.

Cite This Article

"MONGO DB FOR DATA AS A SERVICE ", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.6, Issue 5, page no.28-32, May 2019, Available :http://www.jetir.org/papers/JETIRDA06007.pdf

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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

"MONGO DB FOR DATA AS A SERVICE ", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.6, Issue 5, page no. pp28-32, May 2019, Available at : http://www.jetir.org/papers/JETIRDA06007.pdf

Publication Details

Published Paper ID: JETIRDA06007
Registration ID: 221492
Published In: Volume 6 | Issue 5 | Year May-2019
DOI (Digital Object Identifier):
Page No: 28-32
Country: -, -, - .
Area: Engineering
ISSN Number: 2349-5162
Publisher: IJ Publication


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