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Since his creation by Yahoo! in 2006 for web search, implementations of Hadoop never stop to evolve with nowadays strong focus on stream processing and real-time analytics. Scaled Risk aims to accelerate the adoption of Hadoop in Finance Industry. This talk explains how we leverage on HBase to respond to Capital Market specific requirements: - handling structured representation of trades with many fast evolving models which leads us to the conception of a Dynamic Data Schema - low latency message bus for extremely fast trading analytics, - data coherency and process repeatability in an externally-consistent distributed systems supported by as-of-date and versioning mechanisms for regulatory requirements.