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 parallel SQL, SQL-MR and SQL-GR executing in Aster database - highly scalable parallel and distributed analytical platform. Then 'create' functions visualize results with boxplots, scatterplots, histograms, heatmaps, word clouds, maps, networks, or slope graphs. Advanced options such as faceting, coloring, labeling, and others are supported with most visualizations.

Version: 0.5.2
Depends: R (≥ 3.0), RODBC (≥ 1.3-12)
Imports: plyr (≥ 1.8.3), reshape2 (≥ 1.4.1), ggplot2 (≥ 2.1.0), ggthemes (≥ 3.0.2), scales, RColorBrewer (≥ 1.1-2), grid, wordcloud (≥ 2.5), ggmap (≥ 2.6.1), GGally (≥ 1.0.1), memoise (≥ 1.0.0), slam (≥ 0.1-32), foreach (≥ 1.4.3), stats, network (≥ 1.13.0)
Suggests: testthat (≥ 0.9.1-1), tm, doParallel, ggnetwork
Published: 2016-07-29
Author: Gregory Kanevsky [aut, cre]
Maintainer: Gregory Kanevsky <gregory.kanevsky at>
License: GPL-2
NeedsCompilation: no
SystemRequirements: Teradata Aster Database 5.20 (AD5.20) or higher, Teradata Aster Analytical Foundation 5.20 (AA5.20) or higher.
Materials: README NEWS
In views: HighPerformanceComputing
CRAN checks: toaster results


Reference manual: toaster.pdf
Package source: toaster_0.5.2.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
OS X Mavericks binaries: r-release: not available, r-oldrel: not available
Old sources: toaster archive


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