Fiche du document
1 août 2016
- handle: 10670/1.towdms
- hal: hal-01646637
http://creativecommons.org/licenses/by/ , info:eu-repo/semantics/OpenAccess
Sujets proches
Large data sets Data sets, LargeCiter ce document
Wang Wanting et al., « A Semantically-Based Big Data Processing System Using Hadoop and Map-Reduce », HAL-SHS : sciences de l'information, de la communication et des bibliothèques, ID : 10670/1.towdms
Métriques
Partage / Export
Résumé
In financial industry, a wide range of financial systems generate vast amount of data in different structures, which change with compliance ruleschange and hard to manage due to their heterogeneity. This paper introduces a semantically-based big data processing system to integrate the data from different sources, which realizes the query and computation in semantic layer. The system provides a new data management way for the financial industry. With Semantic Web, the information can be managed, integrated, and collaborated in a more fluent way than it in traditional ETL. In order to clear the complex logical relationship among data, the system uses SPARQL to query. Through Map-Reduce, this system, based on Hadoop and Hbase can improve the processing speed for big data.