In the wake of the 2008 crisis, financial firms are under significantly increased regulations. Risk management systems have to be able to respond to new reporting requirements, but must also handle ever-growing amounts of data to perform more comprehensive analysis.
Existing systems aren't designed to scale for today's environments and many can't finish reporting in time for the start of trading. They're also, oftentimes, inflexible and expensive to operate. Apache Hadoop and Red Hat® solutions help you scale and solve these business challenges.
Join this webinar to learn more about:
- Modern data architecture for financial services risk management.
- Use cases and best practices.
- Solutions that can help organizations scale out, store real-time data with very low-latency, and make processes efficient.
- Storing huge volumes of data to support advanced analytics capabilities.
Vamsi Chemitiganti, chief architect for financial services, Red Hat
Vamsi is responsible for helping Red Hat customers achieve their key business transformation initiatives through open source architectures and technologies. He regularly advises a range of Fortune 100 companies in financial services, healthcare, retail and transportation verticals on such topics as cloud computing, big data, high performance computing, and enterprise middleware.
Ajay Singh, director, Technical Channels, Hortonworks
Ajay is responsible for the design and validation of ecosystem solutions to optimally integrate, deploy, and operate Hortonworks Data Platform and has more than 15 years of experience in enterprise technology delivery and management. Ajay’s experience spans architecture and design for large-scale business services.
Date: April 22, 2015
Time: 12 p.m. ET
Length: 1 hour
Audience: Business and Technical