Results 131 to 140 of about 1,288 (170)
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International Journal of Big Data Intelligence, 2017
NoSQL solutions have been created to respond to many issues encountered when dealing with some specific applications, e.g., storage of very large datasets. In fact, traditional RDMS ensure data integrity and transaction consistency. But, this is at the cost of a rigid storage schema and a complex management.
Ayoub Ait Lahcen, Ahmed Oussous
exaly +2 more sources
NoSQL solutions have been created to respond to many issues encountered when dealing with some specific applications, e.g., storage of very large datasets. In fact, traditional RDMS ensure data integrity and transaction consistency. But, this is at the cost of a rigid storage schema and a complex management.
Ayoub Ait Lahcen, Ahmed Oussous
exaly +2 more sources
HUMAN. ENVIRONMENT. TECHNOLOGIES. Proceedings of the Students International Scientific and Practical Conference, 2021
Darbā ir aprakstīts trīs NoSQL datubāžu salīdzinājums: Mango, CouchBase un Cassandra. Datubāžu salīdzinājuma dati tika iegūti izmantojot YCSB- programmu, kura noslogo datubāzi ar dažādām darba slodzēm, kuras atbilst mūsdienu moderno aplikāciju prasībām.
Krapans, Jānis, Kodors, Sergejs
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Darbā ir aprakstīts trīs NoSQL datubāžu salīdzinājums: Mango, CouchBase un Cassandra. Datubāžu salīdzinājuma dati tika iegūti izmantojot YCSB- programmu, kura noslogo datubāzi ar dažādām darba slodzēm, kuras atbilst mūsdienu moderno aplikāciju prasībām.
Krapans, Jānis, Kodors, Sergejs
openaire +3 more sources
Proceedings of the International C* Conference on Computer Science and Software Engineering, 2013
In the past, relational databases were used in a large scope of applications due to their rich set of features, query capabilities and transaction management. However, they are not able to store and process big data effectively and are not very efficient to make transactions and join operations.
Veronika Abramova, Jorge Bernardino
+4 more sources
In the past, relational databases were used in a large scope of applications due to their rich set of features, query capabilities and transaction management. However, they are not able to store and process big data effectively and are not very efficient to make transactions and join operations.
Veronika Abramova, Jorge Bernardino
+4 more sources
2021
Non-Relational Database Management Systems (NoSQL) arise as an alternative solution to problems not efficiently solved by traditional Database Management Systems (DBMS). NoSQL, unlike the relational model, does not respond to a Data Base type, but represents a set of Database types, with different implementations and characteristics to represent the ...
Luciano Marrero +5 more
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Non-Relational Database Management Systems (NoSQL) arise as an alternative solution to problems not efficiently solved by traditional Database Management Systems (DBMS). NoSQL, unlike the relational model, does not respond to a Data Base type, but represents a set of Database types, with different implementations and characteristics to represent the ...
Luciano Marrero +5 more
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2015 3rd IEEE International Conference on Mobile Cloud Computing, Services, and Engineering, 2015
NoSQL databases are the new breed of databases developed to overcome the drawbacks of RDBMS. The goal of NoSQL is to provide scalability, availability and meet other requirements of cloud computing. The common motivation of NoSQL design is to meet scalability and fail over.
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NoSQL databases are the new breed of databases developed to overcome the drawbacks of RDBMS. The goal of NoSQL is to provide scalability, availability and meet other requirements of cloud computing. The common motivation of NoSQL design is to meet scalability and fail over.
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2015
NoSQL database provides a mechanism for storage and access of data across multiple storage clusters. NoSQL dabases are finding significant and growing industry to meet the huge data storage requirements of Big data, real time applications, and Cloud Computing. NoSQL databases have lots of advantages over the conventional RDBMS features.
Mainak Adhikari, Sukhendu Kar
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NoSQL database provides a mechanism for storage and access of data across multiple storage clusters. NoSQL dabases are finding significant and growing industry to meet the huge data storage requirements of Big data, real time applications, and Cloud Computing. NoSQL databases have lots of advantages over the conventional RDBMS features.
Mainak Adhikari, Sukhendu Kar
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Security Issues in NoSQL Databases
2011IEEE 10th International Conference on Trust, Security and Privacy in Computing and Communications, 2011applications has created the need to store large amount of data in distributed databases that provide high availability and scalability. In recent years, a growing number of companies have adopted various types of non-relational databases, commonly referred to as NoSQL databases, and as the applications they serve emerge, they gain extensive market ...
Lior Okman +4 more
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NoSQL Undo: Recovering NoSQL databases by undoing operations
2016 IEEE 15th International Symposium on Network Computing and Applications (NCA), 2016NoSQL databases offer high throughput, support for huge data structures, and capacity to scale horizontally at the expense of not supporting relational data, ACID consistency and a standard SQL syntax. Due to their simplicity and flexibility, NoSQL databases are becoming very popular among web application developers.
David R. Matos, Miguel Correia 0001
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Application of NoSQL database MongoDB
2015 IEEE International Conference on Consumer Electronics - Taiwan, 2015NoSQL database is the broad definition of nonrelational data storage. As a result of the new storage model, the traditional normal-form theory difficult to adapt to new applications. In this paper, the characteristics of the data logic model of NoSQL database MongoDB and the mode design principles were analyzed, then a method based on anti-normal form ...
Yunhua Gu +3 more
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Introduction to DBMS, RDBMS, and NoSQL Database: NoSQL Database Challenges
SSRN Electronic Journal, 2021In today’s Web world, we see that the data production has been enormous, and organizations also face tough challenge in terms of processing, analyzing, and storing big data. The issue faced by organizations was how to manage the data which was not in a fixed schema which is also called unstructured data.
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