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The knowledge platform for the financial technology industry
The knowledge platform for the financial technology industry

A-Team Insight Blogs

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

Date: 20 May 2026 Time: 10:00am ET / 3:00pm London / 4:00pm CET Duration: 50 minutes 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...

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

Eagle Alpha Alternative Data Conference, London, hosted by A-Team Group

Now in its 8th year, the Eagle Alpha Alternative Data Conference managed by A-Team Group, is the premier content forum and networking event for investment firms and hedge funds.

GUIDE

Fatca – Getting to Grips with the Challenge Ahead

The industry breathed a sigh of relief when the deadline for reporting under the US Foreign Account Tax Compliance Act (Fatca) was pushed back to July 1, 2014. But what’s starting to look like perhaps the most significant regulation of the next 12 months may start to impact our marketplace sooner than we think, especially...