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Teradata QueryGrid enables high performance multi-system analytics across various analytic platforms. QueryGrid: Teradata-to-Aster allows Aster’s powerful multi-genre analytics to be used as extensions of the Teradata database.

What is Aster Express?

This article describes how to use Teradata query grid to execute a Mahout machine learning algorithm on a Hadoop cluster based on data sourced from the Teradata Integrated Data Warehouse.

In today’s fast changing world, companies are constantly looking to find better, cheaper, and faster ways to turn their data into competitive advantage.

There are fairly standardized organizational structures for functions like Human Resources, Finance, and Marketing. However, this isn’t true when it comes to corporate analytics functions.

“42” is the Answer to the Ultimate Question of Life, the Universe, and Everything.  But for Big Data, the answer is simply “everything.” 


Historically, those who work in the world of advanced analytics and data mining have done their work in a separate environment that they control. This approach made sense in the days before Teradata Enterprise Data Warehouses made most, or all, of the needed data available in a scalable environment ...

A new R package for Red Hat Linux has been added to the teradataR 1.0.1 release. This new package provides the same functionality as in the previously released Windows and Mac OS X packages, but is built for Red Hat Linux. This version was built and tested on Red Hat Linux 6.2 32-bit. (The R version for Red Hat Linux is 2.14.1)

Installing this package is the same as any normal R package; just extract it into your R library area, or use the install.packages command with the file path.

Please note, we are no longer supporting teradataR since the decision was made for Teradata to focus on our partnership with Revolution for R integration with Teradata.

R  is an open source language for statistical computing and graphics. R provides a wide variety of statistical (linear and nonlinear modeling, classical statistical tests, time-series analysis, classification, clustering) and graphical techniques, and is highly extensible. This free package is designed to allow users of R to interact with a Teradata database.  Users can use many statistical functions directly against the Teradata system without having to extract the data into memory.

The past year has been highly volatile and unpredictable. Economic forecasts and stock market sentiment are in constant flux. Within this uncertain period lies some hidden opportunities. As painful as the situation may be, it has forced businesses to examine all of their practices and look for ways to do things differently. Advanced Analytics can be a critical component in determining how to survive the downturn and, more importantly, be positioned to thrive during the recovery.