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
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
Implementing Events-based Trading and Prediction Markets
By Jon Light, Senior Director of Product Management at Devexperts. The current surging interest in prediction markets is leading to a general reevaluation of this type of trading, with many financial services firms now questioning whether to offer events-based trading to their own users. To date, several high-profile firms have moved to incorporate prediction markets...
EVENT
AI in Data Management Summit New York City
Following the success of the 15th Data Management Summit NYC, A-Team Group are excited to announce our new event: AI in Data Management Summit NYC!
GUIDE
Connecting to Today’s Fast Markets
At the same time, the growth of high frequency and event-driven trading techniques is spurring demand for direct feed services sourced from exchanges and other trading venues, including alternative trading systems and multilateral trading facilities. Handling these high-speed data feeds its presenting market data managers and their infrastructure teams with a challenge: how to manage...