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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 Equities markets are entering a more distributed, always-on phase. Liquidity is fragmenting across venues and geographies, trading hours are extending toward 24/5 and beyond, and market data volumes, investor expectations and competitive pressure are all rising at once. Many...

BLOG

BMLL and Tradefeedr Partner to Build AI-Ready Analytics Layer for Equities and Futures

BMLL Technologies, the independent provider of harmonised historical order book data, and Tradefeedr, the network-based trading analytics platform, have announced a partnership to extend Tradefeedr’s analytics capabilities into equities and futures. The initiative, which includes a year-long industry pilot, represents Tradefeedr’s first move beyond its established FX analytics franchise and signals a broader ambition to...

EVENT

Buy AND Build: The Future of Capital Markets Technology

Buy AND Build: The Future of Capital Markets Technology London examines the latest changes and innovations in trading technology and explores how technology is being deployed to create an edge in sell side and buy side capital markets financial institutions.

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...