Tags for advanced analytics
Hands-on with Teradata QueryGrid™ - Teradata-Aster
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.
QueryGrid Teradata-to-Aster Aster QueryGrid advanced analytics T-A Multi-system
Introducing Aster Express
What is Aster Express?
aster aster express advanced analytics sql-mr mapreduce
Teradata Query Grid and Machine Learning in Hadoop
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.
query grid hadoop machine learning advanced analytics v_extensibility
Move The Process, Not The Data – Accelerating Analytics With In-Database Processing
In today’s fast changing world, companies are constantly looking to find better, cheaper, and faster ways to turn their data into competitive advantage.
In database advanced analytics Self Service
The Future of Big Data: the Answer is Not “42”
“42” is the Answer to the Ultimate Question of Life, the Universe, and Everything.  But for Big Data, the answer is simply “everything.” 
data warehouse advanced analytics big data petabyte
TeradataR package for Red Hat Linux now available
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.
statistics advanced analytics r
In-database analytics with TeradataR
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.
statistics advanced analytics r v_applications