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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

Recorded Webinar: Optimising cloud, marketplaces & managed data services

Financial institutions are under mounting pressure to rethink how they source, manage and distribute market data. Rising data volumes, multi-cloud adoption and the operational demands of regulations such as DORA are exposing the limits of legacy infrastructure, and driving firms toward managed services and cloud-native delivery models that can offer greater scalability, resilience and cost...

BLOG

BMLL Adds Kalshi Data as Prediction Markets Move Deeper into Institutional Workflows

BMLL, the market data and analytics provider, has added historical prediction market data from Kalshi to its global market data platform, giving quantitative and systematic investment firms a standardised dataset for incorporating event probabilities into macro research, backtesting and trading models. Under the partnership announced today, Kalshi’s historical order book will be normalised into the...

EVENT

AI in Data Management Summit New York City

Now in its second year, the AI in Data Management Summit NYC explores what changes when AI becomes part of the data management operating model.

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...