toaster: Big Data in-Database Analytics with Teradata Aster

A consistent set of tools to perform in-database analytics on Teradata Aster Big Data Discovery Platform. toaster (a.k.a 'to Aster') embraces simple 2-step approach: compute in Aster - visualize and analyze in R. Its 'compute' functions use combination of SQL and SQL/MR functions running in Aster database - highly scalable parallel and distributed analytical platform. Then 'create' functions visualize results with boxplots, scatterplots, histograms, heatmaps, word clouds, maps, or slope graphs. Advanced options such as faceting, coloring, labeling, and others are supported with most functions.

Version: 0.3.1
Depends: R (≥ 3.0), RODBC (≥ 1.3-12)
Imports: plyr (≥ 1.8.3), reshape2 (≥ 1.4.1), ggplot2 (≥ 1.0.1), scales, RColorBrewer (≥ 1.1-2), grid, wordcloud (≥ 2.5), ggmap (≥ 2.5.2), memoise, slam (≥ 0.1-32), foreach (≥ 1.4.3), stats
Suggests: testthat (≥ 0.11.0), tm, doParallel
Published: 2015-11-03
Author: Gregory Kanevsky [aut, cre], Nick Switanek [aut]
Maintainer: Gregory Kanevsky <gregory.kanevsky at>
License: GPL-2
NeedsCompilation: no
SystemRequirements: Teradata Aster Database 5.10 (AD5.10) or higher, Teradata Aster Analytical Foundation 5.10 (AA5.10) or higher (5.11 or higher is recommended)
Materials: README NEWS
In views: HighPerformanceComputing
CRAN checks: toaster results


Reference manual: toaster.pdf
Package source: toaster_0.3.1.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
OS X Snow Leopard binaries: r-release: not available, r-oldrel: not available
OS X Mavericks binaries: r-release: not available
Old sources: toaster archive