CASE STUDY info@svds.com | www.svds.com Data Architecture at a Leading Investment Management Firm The Challenge Data architecture was unable to scale with rapid growth and analytical demands of daily risk modeling Modeling needed for portfolio management and risk assessment required an architecture with linear scalability and low latency access Required a system to store and analyze large scale historical data Background and Business Problem SVDS was engaged by a top-five investment management firm to assist with migrating from MapR to a Cloudera-based platform, designed to enable increased reliability, read/write access, and usability for risk data. The client generates significant amounts of data each day, which must be stored and made available to a wide variety of t

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