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The magic of Aster Analytics now available through R.
Combine richness of R with a scalable data science library to tackle new business problems and enhance existing analytics. Read Aster R Datasheet
Access Aster Analytics functions using the R language. Read Teradata Aster Analytics White Paper
Self-service access to tables in Hadoop and databases as R data frames. Enterprise Scale Analytics with R: Scaling for R with Teradata Aster
Develop R models in an MPP environment that can be easily deployed as a web-based application for business users. Learn more about the Aster AppCenter
Prebuilt R functions will run your analysis in parallel against all your data. No need to sample, partition or write parallel code.
Now R analysts can create and run R scripts in parallel based on the split/apply/combine strategy by using the R “Apply” family of commands.
Get your R models into the hands of your end users to drive business value. Aster App Center puts a web-based front-end to simplify your access to your R model.
A subscription-based online movie provider found themselves in peril. They desperately needed more analysis from their metadata about customer preferences in several critical areas – favorite genres, actors and directors, viewing histories, billing patterns, and satisfaction levels. However, memory bottlenecks blocked their view at every turn.
When a bold analyst introduced Teradata Aster R, the plot thickened. Suddenly they gained easy access across Hadoop and Teradata Integrated Data Warehouse through the Aster Analytics™ and Teradata QueryGrid™. With complete integration of customer viewing histories and behaviors and a consolidated view of millions of users at their fingertips, analysts clearly identified the paths that had led to subscription termination. The result: On-target insight for sound business decisions. Now that’s a happy ending! R Project
RStudio is the leading integrated development environment (IDE) for R.
Teradata Aster R helps scale open source R to meet enterprise analytics needs.
Addressing in-memory limitations and scalability issues of R
Focusing on Aster R integration, Aster SNAP Optimizer, and Aster Graph.
Run R "in-database" on Aster's MPP architecture – run open source R at scale
Contact us for insights and answers to your questions.
"Commercial use of R is increasingly practical and well proven. Organizations should make R part of their predictive analytics adoption and roll out strategy"
— James Taylor, CEO
Decision Management Solutions