Mizuho Bank Adopts MapR Platform for Greater Speed and Efficiency in its Asset Liability Management System
September 06, 2017
San Jose, Calif. - September 6, 2017 -- MapR Technologies, Inc. announced today that the MapR Converged Data Platform—which converges the essential data management, storage, and processing technologies on a single, horizontally scalable platform—has been selected for use in Mizuho Bank’s Asset Liability Management (ALM(*1)) system.
Financial institutions are driven to measure and understand risk with greater accuracy and speed, which is fueling the need to invest in conventional hardware to boost processing speeds as well as increasing the need for a distributed processing system to serve as a new data management architecture.
In this context, Mizuho Information & Research Institute, Inc., Mizuho Financial Group’s IT strategy company, has adopted the MapR Converged Data Platform for its cost performance and data and processing scalability. Selected from among the available Hadoop distributions, MapR has no single point of failure(*2) and is the most suitable platform for enterprise use. To further boost efficiency, the Asakusa Framework(*3) is being used for batch processing development and deployment on MapR.
By virtue of this new parallel distributed processing technology, the MapR-based system achieves processing times 15X those of conventional systems. Increases in the amount and data and processing performed can also be achieved by simply adding server nodes, which promises to reduce TCO and enhance ROI over the medium/long term.
About MapR Converged Data Platform
The MapR Converged Data Platform maximizes use of cost-effective commodity hardware while also providing the uptimes and reliability needed by cloud systems as well as a path to the latest data services architecture. The MapR Platform also provides excellent data management capabilities in exabyte-scale environments.
The MapR Converged Data Platform provides high-speed access to files, database tables, and data streams using its proprietary technology. It also offers accessibility, security, high availability, disaster recovery, data protection, and provides an open environment conforming to NFS and POSIX for ease of use in enterprise IT environments. It delivers distributed processing capabilities and extremely high scalability and performance in cloud and on-premise environments as well as in environments spanning both.
ALM (asset-liability management) is a method of managing financial risk that involves comprehensive management of assets and liabilities. ALM is the method of (or general term for) risk management mainly used by financial institutions such as banks and insurance companies.
Hadoop’s single point of failure, on both Apache Hadoop and commercial Hadoop distributions based on it, is NameNode. The problem is that if a NameNode becomes unavailable, the entire system stops. MapR resolves this by providing NameNode redundancy.
The Asakusa Framework(TM) is a framework for large-scale core batch processing on Hadoop.
About MapR Technologies
MapR Technologies is a visionary Silicon Valley software company and creator of the next-generation data platform for AI and analytics, with the scale and reliability required by enterprise-grade, mission-critical deployments. The MapR Data Platform delivers the power of dataware to accelerate data-driven innovation. Forward leaning companies such as Cisco, Philips, and Société Générale, are able to create new data-driven solutions to outperform the competition. Learn more: mapr.com.
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