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

Browse by brand

RegTech Insight
TradingTech Insight
Data Management Insight

Browse by content type

A-Team Insight Blogs

Revolution Analytics Upgrades R Platform For Big Data

5 June 2012
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: The future of market data – Harnessing cloud and AI for market data distribution and consumption

Market data is the lifeblood of trading, but as data volumes grow and real-time demands increase, traditional approaches to distribution and consumption are being pushed to their limits. Cloud technology and AI-driven solutions are rapidly transforming how financial institutions manage, process, and extract value from market data, offering greater scalability, efficiency, and intelligence. This webinar,...

Find out more

25 June 2025
TradingTech Insight
BLOG

AI in Capital Markets Summit NYC 2025: Seats Filling Fast – Book Now

Following a successful second event in London, the AI in Capital Markets Summit (AICMS) arrives in New York City for the first time on June 26, 2025, to advance the critical industry conversation about artificial intelligence – from experimentation to production. Hosted by A-Team Group at @Ease on Third Avenue, this timely event is a...

Read More

17 June 2025
RegTech Insight TradingTech Insight
EVENT

AI in Capital Markets Summit London

Now in its 2nd year, the AI in Capital Markets Summit returns with a focus on the practicalities of onboarding AI enterprise wide for business value creation. Whilst AI offers huge potential to revolutionise capital markets operations many are struggling to move beyond pilot phase to generate substantial value from AI.

17 June 2026
Data Management Insight RegTech Insight TradingTech Insight
GUIDE

The Reference Data Utility Handbook

The potential of a reference data utility model has been discussed for many years, and while early implementations failed to gain traction, the model has now come of age as financial institutions look for new data management models that can solve the challenges of operational cost reduction, improved data quality and regulatory compliance. The multi-tenanted...

12 January 2017
Data Management Insight