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Thank for visiting our Wiki Pages, we will be presenting different use case scenarios of how to use or setup cuallee
cuallee is intended for teams operating in hybrid environments, in which they require to develop using in-memory data structures, but then testing their quality rules under the same code base, against larger data sets.
cuallee also offers a great interface when planning a migration between technologies like databricks to snowflake or vice-versa as it allows the definition of one type of checks across different implementations of dataframe data structures.
Last but not least, regardless of the technology behind, the main principle behind cuallee is the ideation of meaningful and representative tests against data for which data contracts are continuously evolving, or under the governance of different teams or organizations.
Let us navigate through the motivation and inception ideas of this software.
