starschemar: Obtaining Star Schemas from Flat Tables

Data in multidimensional systems is obtained from operational systems and is transformed to adapt it to the new structure. Frequently, the operations to be performed aim to transform a flat table into a star schema. Transformations can be carried out using professional ETL (extract, transform and load) tools or tools intended for data transformation for end users. With the tools mentioned, this transformation can be carried out, but it requires a lot of work. The main objective this package is to define transformations that allow obtaining star schemas from flat tables easily. In addition, it includes basic data cleaning, dimension enrichment, incremental data refresh and query operations, adapted to this context.

Version: 1.2.0
Depends: R (≥ 2.10)
Imports: dplyr, readr, tibble, tidyr, tidyselect, snakecase, purrr, rlang, stats, pander, generics
Suggests: testthat, knitr, rmarkdown
Published: 2020-09-25
Author: Jose Samos ORCID iD [aut, cre, cph]
Maintainer: Jose Samos <jsamos at>
License: MIT + file LICENSE
NeedsCompilation: no
Language: en-GB
Citation: starschemar citation info
Materials: README NEWS
CRAN checks: starschemar results


Reference manual: starschemar.pdf
Vignettes: starschemar: Obtaining Star Schemas from Flat Tables
Package source: starschemar_1.2.0.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
macOS binaries: r-release: starschemar_1.2.0.tgz, r-oldrel: starschemar_1.2.0.tgz
Old sources: starschemar archive

Reverse dependencies:

Reverse imports: geogenr, geomultistar


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