DocumentCode :
2721274
Title :
Understanding business trends from data evolution with Tornado
Author :
Ouassarah, Azhar Ait ; Aversengy, Nicolas ; Fournety, Xavier ; Petit, Jean-Marc ; Revol, Romain ; Scuturici, Vasile-Marian
Author_Institution :
Univ. de Lyon, Villeurbanne, France
fYear :
2015
fDate :
13-17 April 2015
Firstpage :
1456
Lastpage :
1459
Abstract :
Nowadays, every company could understand how its business evolves from the data (deluge) generated by its activities. Roughly speaking, two types of data co-exist: historical data and real-time data from which business analysts have to take their decisions in a timely fashion. In this context, the notions of time (application time and transaction time) and traceability turn out to play a crucial role to understand what happened in the company and what is currently happening. Tornado offers a full-fledged platform to deal with such data and is based on two key features: 1) a bi-temporal DB specifically designed for handling historical and real-time data, 2) a GUI that aims to facilitate query formulation for business analysts. In this demonstration, we provide the key resources to let the visitors play with the Tornado functionalities to interact with predefined data.
Keywords :
business data processing; data handling; graphical user interfaces; GUI; Tornado functionalities; application time; bitemporal DB; business analysts; business trends; data evolution; historical data handling; real-time data handling; transaction time; Companies; Databases; Engines; Graphical user interfaces; Real-time systems; Tornadoes;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Data Engineering (ICDE), 2015 IEEE 31st International Conference on
Conference_Location :
Seoul
Type :
conf
DOI :
10.1109/ICDE.2015.7113400
Filename :
7113400
Link To Document :
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