Please use this identifier to cite or link to this item:
https://libeldoc.bsuir.by/handle/123456789/34748
| Title: | Machine learning and lambda architecture methods application to optimize postgresql database performance |
| Authors: | Sharayeu, Y. |
| Keywords: | материалы конференций;machine learning;relational databases;lambda architecture |
| Issue Date: | 2019 |
| Publisher: | БГУИР |
| Citation: | Sharayeu, Y. Machine learning and lambda architecture methods application to optimize postgresql database performance / Y. Sharayeu // BIG DATA and Advanced Analytics = BIG DATA и анализ высокого уровня : сборник материалов V Международной научно-практической конференции, Минск, 13–14 марта 2019 г. В 2 ч. Ч. 1 / Белорусский государственный университет информатики и радиоэлектроники; редкол. : В. А. Богуш [и др.]. – Минск, 2019. – С. 80 – 81. |
| Abstract: | Here is described the application of methods of optimizing POSTGRESQL database using machine
learning algorithms and lambda architecture principles. |
| URI: | https://libeldoc.bsuir.by/handle/123456789/34748 |
| Appears in Collections: | BIG DATA and Advanced Analytics = BIG DATA и анализ высокого уровня : материалы конференции (2019)
|
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.
