rolap: Obtaining Star Databases from Flat Tables (original) (raw)
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 ROLAP (Relational On-Line Analytical Processing) star database. The main objective of the package is to allow the definition of these transformations easily. The implementation of the multidimensional database obtained can be exported to work with multidimensional analysis tools on spreadsheets or relational databases.
Version: | 2.5.1 |
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Depends: | R (≥ 2.10) |
Imports: | dm, dplyr, methods, purrr, readr, rlang, sf, snakecase, starschemar, tibble, tidyr, tidyselect, tools, utils, when, xlsx |
Suggests: | DBI, dbplyr, DiagrammeR, DiagrammeRsvg, knitr, lubridate, magrittr, maps, pander, pivottabler, RMariaDB, rmarkdown, RSQLite, stringr, testthat (≥ 3.0.0) |
Published: | 2024-01-10 |
DOI: | 10.32614/CRAN.package.rolap |
Author: | Jose Samos [aut, cre], Universidad de Granada [cph] |
Maintainer: | Jose Samos |
BugReports: | https://github.com/josesamos/rolap/issues |
License: | MIT + file |
URL: | https://josesamos.github.io/rolap/,https://github.com/josesamos/rolap |
NeedsCompilation: | no |
Language: | en-GB |
Materials: | README NEWS |
CRAN checks: | rolap results |
Documentation:
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Reverse dependencies:
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