A Primer on NoSQL Databases for Enterprise Architects: The CAP Theorem and Transparent Data Access with MongoDB and Cassandra

Marungo, Fumbeya

doi:10.24251/hicss.2018.583

Cited by 3 publications

(1 citation statement)

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“…As a result, a key implication of the CAP Theorem is that combining redundancy and consistency leads to system instability. Instead, systems can duplicate records in a CP or AP fashion and control ACID relaxation using BASE semantics Marungo (2018). MongoDB (NoSQL) performs better than MySQL in all parameters for each kind of workload (A, C, and F).…”

Section: "Not Sql Or" Nosql Data Modelmentioning

confidence: 99%

Evaluation of Database Management Systems and Techniques Applied in Distributed Systems

Samonte,

Samonte

2022

Proceedings of the International Conference on Industrial Engineering and Operations Management

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The technical solution used to improve and manage the storage and retrieval of data from databases is known as a database management system (DBMS). A transaction signifies a change in the database's data. It is an activity or sequence of operations performed by a single user or application software to read or change the database's contents. A transaction can fail before all the actions in the set are completed, which is a concern. This might occur because of a power outage, a system crash, or other factors while Concurrency Control in a Database Management System is a method of controlling many actions at the same time without their interfering. To resolve these issues, the various techniques are presented in this study with discussion of techniques and algorithms used. Concurrency control methods like locking, timestamps, and Optimistic Concurrency Control can be used to handle concurrent transactions and avoid conflicts. Studying a distributed database for relational (MySQL) and NoSQL (MongoDB), as well as the implementation and performance of ACID transactions in NoSQL, is another proposal (MongoDB).

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Section: "Not Sql Or" Nosql Data Modelmentioning

confidence: 99%