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: The Role of Data Fabric and Data Mesh in Modern Trading Infrastructures
The demands on trading infrastructure are intensifying. Increasing data volumes, the necessity for real-time processing, and stringent regulatory requirements are exposing the limitations of legacy data architectures. In response, firms are re-evaluating their data strategies to improve agility, scalability, and governance. Two architectural models central to this conversation are Data Fabric and Data Mesh. This...
BLOG
Bloomberg BQuant Wins A-Team AICM Best AI Solution for Historical Data Analysis Award
When global markets were roiled by the announcement of massive US trade tariffs, Bloomberg saw the amount of financial and other data that runs through its systems surge to 600 billion data points, almost double the 400 billion it manages on an average day. “These were just mind-blowingly large volumes of data,” says James Jarvis,...
EVENT
RegTech Summit London
Now in its 9th year, the RegTech Summit in London will bring together the RegTech ecosystem to explore how the European capital markets financial industry can leverage technology to drive innovation, cut costs and support regulatory change.
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...