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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: Modernising Equities Trading Infrastructure: Architecture, Resilience and the Economics of Change

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

SOLVE Extends Relative Value Analysis to Peer-Group Cohorts

SOLVE has launched cohort-based Relative Value Analysis, an extension of its pre-trade platform that lets institutional fixed income traders and portfolio managers measure a bond against a dynamically defined peer group rather than picking off comparisons one bond at a time. The release, announced this month, adds two analytical frameworks – bond versus cohort, and...

EVENT

Digital Assets & Tokenisation Briefing, New York

A-Team Group’s Digital Assets & Tokenisation Briefing assembles an exclusive group of CxOs and senior technology innovators. These leading market practitioners and infrastructure providers are collectively building the digital rails and decentralised networks that will power Wall Street 2.0.

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...