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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.
Konstantinos Domdouzis +2 more
openaire +3 more sources
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.
Konstantinos Domdouzis +2 more
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.
Peter Lake, Paul Crowther
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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.
Peter Lake, Paul Crowther
+4 more sources
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
openaire +1 more source
International Journal of Knowledge-Based Organizations, 2019
The rapid growth in the digital world in form of exponentiation to accommodate huge amount of structured, semi-structured, unstructured and hybrid data received from different sources. By using the conventional data management tools, it is quite impossible to manage this semi-structured and unstructured data for which a non-relational database ...
Biswaranjan Acharya +4 more
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The rapid growth in the digital world in form of exponentiation to accommodate huge amount of structured, semi-structured, unstructured and hybrid data received from different sources. By using the conventional data management tools, it is quite impossible to manage this semi-structured and unstructured data for which a non-relational database ...
Biswaranjan Acharya +4 more
openaire +1 more source
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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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 Matos, Miguel Correia
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International Journal of Software Science and Computational Intelligence, 2020
The explosion of the data quantities, which reflects the scaling of volumes, numbers, and types, has resulted in the development of new locations techniques and access to data. The final steps in this evolution have emerged new technologies: cloud computing and big data.
Houcine Matallah +2 more
openaire +1 more source
The explosion of the data quantities, which reflects the scaling of volumes, numbers, and types, has resulted in the development of new locations techniques and access to data. The final steps in this evolution have emerged new technologies: cloud computing and big data.
Houcine Matallah +2 more
openaire +1 more source