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: Data platform modernisation: Best practice approaches for unifying data, real time data and automated processing

Financial institutions are evolving their data platform modernisation programmes, moving beyond data-for-cloud capabilities and increasingly towards artificial intelligence-readiness. This has shifted the data management focus in the direction of data unification, real-time delivery and automated governance. The drivers of this transition are improved operational efficiency as manual processes are replaced by faster, more accurate automated...

BLOG

Beyond the Blueprint: Integrating Data Fabric and Data Mesh in Capital Markets

The demands placed upon modern trading infrastructures, driven by increasing data volumes, the mandate for real-time processing, and stringent regulatory requirements, are exposing the limitations of historical data architectures. In response, capital markets firms are accelerating the re-evaluation of their data strategies to secure greater agility, scalability, and enhanced governance. A recent webinar hosted by...

EVENT

Eagle Alpha Alternative Data Conference, Spring, New York, hosted by A-Team Group

Now in its 9th year, the Eagle Alpha Alternative Data Conference managed by A-Team Group, is the premier content forum and networking event for investment firms and hedge funds.

GUIDE

Regulatory Data Handbook 2023 – Eleventh Edition

Welcome to the eleventh edition of A-Team Group’s Regulatory Data Handbook, a popular publication that covers new regulations in capital markets, tracks regulatory change, and provides advice on the data, data management and implementation requirements of more than 30 regulations across UK, European, US and Asia-Pacific capital markets. This edition of the handbook includes new...