|
Title:
|
VISUAL ANALYSIS SYSTEM WITH A HYBRID DATABASE USING HADOOP AND RDB |
|
Author(s):
|
Ryosuke Saga, Hatsuho Sakai |
|
ISBN:
|
978-989-8533-33-3 |
|
Editors:
|
Miguel Baptista Nunes, Pedro Isaías and Philip Powell |
|
Year:
|
2015 |
|
Edition:
|
Single |
|
Keywords:
|
Visual Analysis, Hadoop, Relational Database, Co-occurrence graph, Graph Integration. |
|
Type:
|
Poster/Demonstration |
|
First Page:
|
264 |
|
Last Page:
|
266 |
|
Language:
|
English |
|
Cover:
|
|
|
Full Contents:
|
click to dowload 
|
|
Paper Abstract:
|
A visual analysis system with a hybrid database that employs both relational and NoSQL databases is proposed. A NoSQL database can be utilized to calculate and store data. However, it cannot update and delete data well. Therefore, the proposed system consists of a graphical user interface, a relational database, and NoSQL. The relational database functions as cash memory in the computer architecture. The system supports several data operations through RDB. |
|
|
|
|
|
|
