Obtaining Stars from Flat Tables R package starschemar version 1.2.5 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. Software Depends: R (>= 2.10) Imports: dplyr, generics, methods, purrr, rlang, snakecase, stats, tibble, tidyr Suggests: knitr, pander, rmarkdown, testthat Jose Samos <jsamos@ugr.es> Comprehensive R Archive Network (CRAN) Jose Samos [aut, cre] (ORCID: <https://orcid.org/0000-0002-4457-3439>), Universidad de Granada [cph] MIT + file LICENSE (https://CRAN.R-project.org/package=starschemar/LICENSE) 2024-05-02 application/tgz https://CRAN.R-project.org/package=starschemar doi:10.32614/CRAN.package.starschemar en-GB