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.
Subscribe to our newsletter
A-Team Insight Blogs
Leveraging In-Memory for Real-Time MapReduce Analytics
Subscribe to our newsletter
Related content
WEBINAR
Recorded Webinar: Agility as Alpha: How Trading Infrastructure Determines Who Wins in Volatile Markets
Tariff shocks, geopolitical realignment and macroeconomic regime shifts are redrawing the investment landscape faster than most firms’ technology stacks can keep up. For hedge funds and asset managers, the ability to move quickly into new asset classes, geographies or strategies is no longer just an operational concern – it is a front-office differentiator and, increasingly,...
BLOG
Beyond the Benchmark: Bloomberg Extends BCOM for a Fragmented Commodity Market
When the Bloomberg Commodity Index (BCOM) was launched in 1998, the architecture made sense for its time. Liquidity in commodity futures was concentrated in North American contracts denominated in US dollars, and the methodology was built accordingly. Twenty-eight years later the way global commodity markets operate and the way institutional investors want to access them...
EVENT
TradingTech Summit New York
Our TradingTech Summit in New York is aimed at senior-level decision makers in trading technology, electronic execution, trading architecture and offers a day packed with insight from practitioners and from innovative suppliers happy to share their experiences in dealing with the enterprise challenges facing our marketplace.
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...