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starschemar: Obtaining Stars 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 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 of this package is to define transformations that allow
obtaining stars from flat tables easily. In addition, it includes
basic data cleaning, dimension enrichment, incremental data refresh
and query operations, adapted to this context.
| Version: |
1.2.5 |
| Depends: |
R (≥ 2.10) |
| Imports: |
dplyr, generics, methods, purrr, rlang, snakecase, stats, tibble, tidyr |
| Suggests: |
knitr, pander, rmarkdown, testthat |
| Published: |
2024-05-02 |
| DOI: |
10.32614/CRAN.package.starschemar |
| Author: |
Jose Samos  [aut,
cre],
Universidad de Granada [cph] |
| Maintainer: |
Jose Samos <jsamos at ugr.es> |
| BugReports: |
https://github.com/josesamos/starschemar/issues |
| License: |
MIT + file LICENSE |
| URL: |
https://josesamos.github.io/starschemar/,
https://github.com/josesamos/starschemar |
| NeedsCompilation: |
no |
| Language: |
en-GB |
| Materials: |
README NEWS |
| CRAN checks: |
starschemar results |
Documentation:
Downloads:
Reverse dependencies:
Linking:
Please use the canonical form
https://CRAN.R-project.org/package=starschemar
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These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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