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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

Recorded Webinar: Unlocking value: Harnessing modern data platforms for data integration, advanced investment analytics, visualisation and reporting

Modern data platforms are bringing efficiencies, scalability and powerful new capabilities to institutions and their data pipelines. They are enabling the use of new automation and analytical technologies that are also helping firms to derive more value from their data and reduce costs. Use cases of specific importance to the finance sector, such as data...

BLOG

Beeks Moves Up the Stack with Market Edge Intelligence Launch

Cloud and connectivity provider Beeks Financial Cloud Group has launched Market Edge Intelligence, an AI-driven analytics solution designed to deliver trading insights directly at the network edge, marking a significant strategic expansion from infrastructure into data intelligence. The new solution aims to solve what the firm calls a “visibility gap” for trading participants. It uses...

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

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...