Migration from a Relational Database to NoSQL

Migration from a Relational Database to NoSQL

Samah Bouamama (University of Oran 1 Ahmed Ben Bella, Oran, Algeria)
Copyright: © 2018 |Pages: 18
DOI: 10.4018/IJKBO.2018070104


This article describes how due to the monstrous evolution of the technology and the enormous increase in data, it becomes difficult to work with traditional database management tools; relational databases quickly reach their limits and adding servers does not increase performance. As a result of this problem, new technologies have emerged, such as NoSQL databases, which radically change the architecture of the databases that the authors are used to seeing, thus increasing the performance and availability of services. As these technologies are relatively new, standard or formal migration processes do not yet exist, the authors thought it useful to propose a migration approach from a relational database to a database-oriented columns type HBase and Cassandra.
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2. Concepts Of Big Data

The emergence of the term Big Data a few years ago and the exponential growth of digital information displays for data sets became so large that it is difficult (or impossible) to treat them with adequate response times through traditional tools.

The notion of “Big” in terms of volume of data varies from one company to another. It relies on a set of technological and technical innovations that profoundly transforms how businesses and individuals generate, transmit, store, and use data. Its purpose is the integration, storage, and analysis of multi-structured data (Franklin, 2015).

This staggering amount of data cannot be collected, stored, managed, and operated by traditional IT solutions combining physical infrastructure and relational databases. In order to find appropriate technological solutions, a first phase of conceptual clarification of Big Data has been imposed, thus study and analysis firms proposed the rule of 3V: Volume, Velocity and Variety.

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