Title :
A Big Data Financial Information Management Architecture for Global Banking
Author :
Munar, Antoni ; Chiner, Esteban ; Sales, Ignacio
Author_Institution :
GFT Group, Valencia, Spain
Abstract :
Global investment banks and financial institutions are facing growing data processing demands. These originate not only from increasing regulatory requirements and an expanding variety and disparity of data sources, but also from ongoing pressures in cost reduction without compromising system scalability and flexibility. In this context, the ability to apply promising state-of-the-art big data technologies to extract the maximum value from the vast amounts of the data generated is generating a lot of interest in the financial services industry. In this paper we present a Big Data architecture system design, based in open distributed computing paradigms like Hadoop map-reduce, offering horizontal scalability and no-SQL flexibility while at the same time meeting the stringent quality and resilience requirements of the banking software standards. The proposed architecture is able to consolidate, validate, enrich and process with different Big Data analytics techniques the data gathered from the different source systems as encountered in the banking practice, while at the same time supporting the different data integration, transmission and process orchestration requirements traditionally encountered in a global financial institution.
Keywords :
Big Data; banking; information management; open systems; software standards; Big Data; Hadoop map-reduce; banking software standards; data processing demands; financial information management architecture; financial institutions; financial services industry; global financial institution; global investment banks; no-SQL flexibility; open distributed computing paradigms; Banking; Big data; Data models; Distributed databases; Reliability; big data analytics; big data architectures; financial information; hadoop; map-reduce;
Conference_Titel :
Future Internet of Things and Cloud (FiCloud), 2014 International Conference on
Conference_Location :
Barcelona
DOI :
10.1109/FiCloud.2014.68