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Leveraging In-Memory for Real-Time MapReduce Analytics

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See the video below on how in-memory technology from ScaleOut Software can boost MapReduce 40x for financial applications, such as real-time risk analytics.

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Recorded Webinar: Navigating the Build vs Buy Dilemma: Cloud Strategies for Accelerating Quantitative Research

For many quantitative trading firms and asset managers, building a self-provisioned historical market data environment remains one of the most time-consuming and resource-intensive steps in establishing a new research capability. Sourcing data, normalising symbologies, handling corporate actions and maintaining infrastructure can take months and absorb significant budget before a single model is tested. At the...

BLOG

When Market Data’s Cloud Migration Is Over, What’s Left Behind?

The firms furthest along with cloud have stopped arguing about whether market data belongs there. What occupies them now are the questions that outlasted the migration: where the on-premises boundary finally holds, what turns out to cost money, and whether entitlement frameworks built for headcount can survive machines that consume data at machine speed. Getting...

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TradingTech Summit New York

Our TradingTech Summit in New York is aimed at senior-level decision makers in trading technology, electronic execution, trading architecture and offers a day packed with insight from practitioners and from innovative suppliers happy to share their experiences in dealing with the enterprise challenges facing our marketplace.

GUIDE

AI in Capital Markets Handbook 2026

AI adoption in capital markets has moved into a more disciplined phase. The priority is now controlled deployment: where AI can be used safely, where it can deliver measurable value, and how outputs can be governed, monitored and evidenced. The 2026 edition of the AI in Capital Markets Handbook examines how AI is being applied...