Advanced In-Database Analytics is a unique capability of Aster Data nCluster™ that moves beyond the constraints of running analytics in a traditional RDBMS database or on external application servers.
By pushing complete analytic applications, not just analytic logic, into the data tier, Aster Data marries the power of standard SQL development with existing programming languages and new frameworks for analytic processing. This includes languages like R, Java, C/C#/C++, .NET, and Python, as well as new big data analytic processing techniques like MapReduce.
Register for this complimentary whitepaper to learn how to:
Run analytic applications form R and SAS in-database within Aster Data nCluster, reducing time and costs of migrating and sampling data from traditional data warehouses
Achieve significantly faster response times by running R scripts and functions upon distributed tables in the database
Drastically reduce time spent modeling and scoring when using R