Financial institutions like hedge funds require fast access to petabytes of structured and unstructured data that can combine to predict market movements. Tweets, social feeds, news, and stock market data unite to create a dataset that can be mined by quants that leverage sophisticated cloud-based tools. Datasets are typically housed on-premise, or in hosted data lakes, due to the high cost of cloud storage and data access costs. The latency introduced with those approaches can hinder or even obstruct analytics with cloud services and tools. The ideal solution requires fast access times, low cost, and high scalability.
ACCELERATE TIME TO INSIGHT
Leverage powerful and scalable unstructured data systems to analyze and guide decisions that drive business and financial growth.
CENTRALIZED DATA WITH HIGH-SPEED ACCESS
Low latency, high-speed connectivity, and simultaneous data from multiple clouds to a central data lake
FLEXIBLE TOOLS FOR DIVERSE DEV TEAMS
Existing teams can use their preferred and familiar cloud-based analytics and AI tools from any of the cloud providers, speeding up time to value without requiring new skills and knowledge.
Improve capacity, resiliency, and redundancy of data stored and accessed in the cloud.