No SQL Database Management Systems for Big Data
| Autor: | Eugenio Vocaturo, Luciano Caroprese, Ester Zumpano |
|---|---|
| Přispěvatelé: | Blue Eyes Intelligence Engineering and Sciences Publication(BEIESP) |
| Rok vydání: | 2020 |
| Předmět: |
Environmental Engineering
Database Computer science Sql database business.industry Big data General Engineering About four key words or phrases in alphabetical order separated by commas 2249-8958 computer.software_genre Computer Science Applications D9145049420/2020©BEIESP Management system business computer |
| Zdroj: | International Journal of Engineering and Advanced Technology. 9:21-26 |
| ISSN: | 2249-8958 |
| DOI: | 10.35940/ijeat.d9145.069520 |
| Popis: | It is well known that, at the present, a huge amount of information, often referred as Big Data, is processed by each domain of modern society. Big data are well defined by the seven dimensions: Volume, Velocity, Variety, Variability, Veracity, Visualization and Value. The traditional database management systems cannot handle the requirements of high availability, scalability and reliability emerged with Big Data. The good news is that we are now in the age of NoSQL databases. NoSQL do not have a fixed structure, they have a flexible structure and are suited for storing unstructured data produced in a large scale in various field. This work outlines the four main types of NoSQL databases and presents some of their representative solutions. |
| Databáze: | OpenAIRE |
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