dynamic fields detection based ont 1st line content and provided field separator (strategic advantage).conversion intake data from a single or multiple CSV files based on a single input parameter (can be specific or contain a file pattern).Repository owner is: Daniel Popiniuc Implemented features This features allows you to automate tedious tasks to refresh data on the server side (one real-life example could be a daily/weekly snapshot of a dynamically changing content to capture big variations in time in Development or Quality layer before reaching Production environment). This is possible thank to excellent Tableau supported logic: Tableau Server Client (Python) package. Based on Tableau Hyper API this repository is intended to manage importing any CSV file into Tableau-Hyper format (to be used with Tableau Desktop/Server) with minimal configuration (as column detection, content type detection and reinterpretation of content are part of the included logic), therefore speed up the process of building extract.Īlso a publishing data source script allows to take resulted Tableau Hyper file and publish it to a Tableau Server.
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