toaster: analytics and visualization with Aster Database
toaster (a.k.a 'to Aster') is a set of tools to perform
in-database analytics with Teradata Aster Discovery Platform.
toaster embraces simple approach by dividing tasks into 2 steps:
compute in Aster - visualize and analyze in R. toaster 'compute' functions
use distributed, highly scalable, parallel SQL and map-reduce
for processing of large data sets in Aster database. 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 plots.
| Version: |
0.2.5 |
| Depends: |
R (≥ 2.14), RODBC (≥ 1.3-9) |
| Imports: |
plyr (≥ 1.8), reshape2 (≥ 1.2.2), ggplot2 (≥ 0.9.3.1), scales, RColorBrewer (≥ 1.0-5), grid, wordcloud (≥ 2.4), ggmap (≥ 2.3) |
| Suggests: |
testthat (≥ 0.2), memoise |
| Published: |
2014-04-10 |
| Author: |
Gregory Kanevsky |
| Maintainer: |
Gregory Kanevsky <gregory.kanevsky at teradata.com> |
| License: |
GPL-2 |
| URL: |
https://grigory@bitbucket.org/grigory/toaster.git |
| NeedsCompilation: |
no |
| SystemRequirements: |
Teradata Aster 5.1 or higher, Teradata Aster
Analytical Foundation 5.10 or higher (5.11 or higher is
recommended) |
| Materials: |
README NEWS |
| In views: |
HighPerformanceComputing |
| CRAN checks: |
toaster results |
Downloads: