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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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Related content

WEBINAR

Upcoming Webinar: From Monolith to Modular: Architecting Equity Trading Platforms for 24/5 and Beyond

Date: 14 October 2026 Time: 10:00am ET / 3:00pm London / 4:00pm CET Duration: 50 minutes Global equity markets are undergoing their biggest structural shift in decades. Extended and near-continuous trading, evolving market structures, and rapidly growing data volumes are placing unprecedented demands on trading infrastructure. In a recent TradingTech Summit New York poll from...

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...

EVENT

ExchangeTech Summit London

A-Team Group, organisers of the TradingTech Summits, are pleased to announce the inaugural ExchangeTech Summit London on May 14th 2026. This dedicated forum brings together operators of exchanges, alternative execution venues and digital asset platforms with the ecosystem of vendors driving the future of matching engines, surveillance and market access.

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...