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.


Reference manual

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0.5.2 by Gregory Kanevsky, 3 months ago

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Authors: Gregory Kanevsky [aut, cre]

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, ggnetwork

System requirements: Teradata Aster Database 5.20 (AD5.20) or higher, Teradata Aster Analytical Foundation 5.20 (AA5.20) or higher.

See at CRAN