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DIGITAL TRANSFORMATION IN THE ECONOMY OF THE TRANSPORT COMPLEX
The document-oriented database, the main features of the Document-oriented database are considered, a comparative analysis of the relational approach with the NoSQL approach is carried out.
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The document-oriented database, the main features of the Document-oriented database are considered, a comparative analysis of the relational approach with the NoSQL approach is carried out.
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Document-Oriented Database-Based Privacy Data Protection Architecture
2013 10th Web Information System and Application Conference, 2013NoSQL database has been popular in cloud storage and document-oriented database also has attracted much attention as a kind of NoSQL database. This paper introduces document-oriented database-based privacy data protection architecture. This architecture maintains the feature as scheme-free and nested document of document-oriented database, and protects
Zhen Jiang, Yongqing Zheng, Yuliang Shi
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Document-Oriented Data Schema for Relational Database Migration to NoSQL
2017 International Conference on Big Data Innovations and Applications (Innovate-Data), 2017Big data has become a crucial issue and one of the most important technologies in the modern world. The management of a semi-structured data format for big data is an important concern that must be addressed. Most relational database management systems fail to handle the scalability and flexibility of big data. NoSQL, which is a new concept in database
Shady Hamouda, Zurinahni Zainol
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MongoDB as an Efficient Graph Database: An Application of Document Oriented NOSQL Database
2018This paper tries exploring the ways with which a MongoDB database can be used as a Graph database. In this chapter, we identified the advantages in designing real world application designed using one of the dynamic set of Not Only Structured Query Language (NoSQL) databases – graph databases.
Parmar Raj R., Roy Sudipta
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Migration of Relational Database to NoSQL Document-Oriented Database
2023 IEEE International Conference on Data and Software Engineering (ICoDSE), 2023Wilson Tandya, Fazat Nur Azizah
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2015 8th International Conference on Advanced Software Engineering & Its Applications (ASEA), 2015
Database can accommodate a very large number of users on an on-demand basis. The main limitations with conventional relational database management systems (RDBMS) are that they are hard to scale with Data warehousing, Grid, Web 2.0 and Cloud applications, have non-linear query execution time, have unstable query plans and have static schema.
Satyadhyan Chickerur +2 more
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Database can accommodate a very large number of users on an on-demand basis. The main limitations with conventional relational database management systems (RDBMS) are that they are hard to scale with Data warehousing, Grid, Web 2.0 and Cloud applications, have non-linear query execution time, have unstable query plans and have static schema.
Satyadhyan Chickerur +2 more
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AStar: A modeling language for document-oriented geospatial data warehouses
Data and Knowledge Engineering, 2023Márcio Ferro, Robson Fidalgo
exaly
Designing Document-Oriented Databases with Couchbase
2015David Ostrovsky +2 more
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