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White Paper: Teradata and Revolution Analytics: For the Big Data Era, An Analytics Revolution


Abstract

Despite R being one of the most powerful and widely used types of data analysis software in the world, until now there has not been an out-of-the box R solution that runs in parallel and in database, thus limiting the analytic value of R for driving competitive advantage within large MPP platforms. Now, a partnership between Teradata and Revolution Analytics brings enterprise-class R in-database for massively parallel analytical processing inside the Teradata platform. Known as Revolution R Enterprise, this enterprise class R enables companies that use R to uncover trustworthy insights from huge data assets in near real time.

Introduction

Few question anymore the power of in-database analytics to deliver the kinds of insights that are relevant enough to alter a competitive landscape. The timeliness, analytical power, scalability and cost-effectiveness of running analytics in parallel and in-database are the keys to repeatedly finding so-called golden needles in massive haystacks and quickly operationalizing those insights.

Yet until now, massively parallel analytical processing in-database has only been available using SQL. This has hampered the ability of organizations invested in non-SQL analytics to glean the most powerful competitive advantage possible from their investments in this era of big data.

It’s been especially frustrating in the case of R, which is among the most widely used types of data analysis software in the world. Free and open source, R’s vibrant community of approximately 2 million users and contributors has created a huge library of algorithms for data access, manipulation, analysis and visualization. This, along with R’s proven power and reliability, have made it an attractive option for any enterprise that understands why big data exploration and predictive analytics are essential components in modern business success.

Revolution Analytics and Teradata recognized this and have created an enterprise-class R, known as Revolution R Enterprise, that runs in-database for massively parallel analytical processing inside the Teradata platform.