About a-team Marketing Services
The knowledge platform for the financial technology industry
The knowledge platform for the financial technology industry

A-Team Insight Blogs

Revolution Analytics Upgrades R Platform For Big Data

Subscribe to our newsletter

Revolution Analytics has announced general availability its commercial-grade analytics suite, Revolution R Enterprise 6.0.  Using the built-in RevoScaleR package, R users can process, visualise and model terabyte-class data rapidly, without the need for specialised hardware.

Highlights of Revolution R Enterprise 6.0 include:

  • Platform LSF Cluster Support – Now supports distributed computing on multi-node Platform LSF grids.  Support on Windows-based grids provided via Microsoft HPC Server.
  • Cloud-based Analytics with Azure Burst – Switch computations from a local Microsoft Windows HPC Server cluster to the Azure Cloud with a single command.
  • Big-Data Generalized Linear Models – Support big-data predictive models used in insurance, finance and biotech industries. Use a multi-node server or distributed grid for fast analytics on big data.
  • Direct Analysis of SAS, SPSS, ASCII and ODBC Data—Analyse proprietary data formats without the need for SAS/SPSS licenses.
  • Updated R 2.14.2 Engine—Improves performance and parallel programming capabilities. In addition, Revolution Analytics’ open-source RHadoop project (for Hadoop integration) is updated to work with this new engine.
Subscribe to our newsletter

Related content

WEBINAR

Recorded Webinar: Unlocking Competitive Edge with Outsourcing and Managed Services in Trading Technology

Outsourcing has emerged as a strategic solution for capital markets firms as trading technology infrastructures become more complex, data volumes grow exponentially, and regulatory pressures intensify. .By leveraging third-party expertise, firms can optimise operations, reduce costs, and focus on innovation in their trading technology stack. Outsourcing potentially enables firms to scale seamlessly, meet regulatory reporting...

BLOG

Trading the Middle East & North Africa: Connectivity, Data Systems & Processes

The MENA region is emerging as a compelling yet complex landscape for global investors, marked by rapid economic growth, evolving regulations, and unique infrastructural challenges. Within this environment, how are technological upgrades in exchanges transforming the trading landscape? And, importantly, what hurdles still exist for those looking to establish a foothold in these burgeoning markets?...

EVENT

AI in Capital Markets Summit New York

The AI in Capital Markets Summit will explore current and emerging trends in AI, the potential of Generative AI and LLMs and how AI can be applied for efficiencies and business value across a number of use cases, in the front and back office of financial institutions. The agenda will explore the risks and challenges of adopting AI and the foundational technologies and data management capabilities that underpin successful deployment.

GUIDE

AI in Capital Markets: Practical Insight for a Transforming Industry – Free Handbook

AI is no longer on the horizon – it’s embedded in the infrastructure of modern capital markets. But separating real impact from inflated promises requires a grounded, practical understanding. The AI in Capital Markets Handbook 2025 provides exactly that. Designed for data-driven professionals across the trade life-cycle, compliance, infrastructure, and strategy, this handbook goes beyond...