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.


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install.packages("toaster")

0.5.1 by Gregory Kanevsky, 4 months ago


https://github.com/teradata-aster-field/toaster


Report a bug at https://github.com/teradata-aster-field/toaster/issues


Browse source code at https://github.com/cran/toaster


Authors: Gregory Kanevsky [aut, cre], Nick Switanek [aut]


Documentation:   PDF Manual  


Task views: High-Performance and Parallel Computing with R


GPL-2 license


Imports plyr, reshape2, ggplot2, ggthemes, scales, RColorBrewer, grid, wordcloud, ggmap, GGally, memoise, slam, foreach, stats, network

Depends on RODBC

Suggests testthat, tm, doParallel

System requirements: 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)


See at CRAN