![]() ![]() ![]() There are different interpretations of what a ‘data dictionary’ is. To avoid such situations, companies should design an internal data dictionary. ![]() This can significantly skew any analysis done based on such metrics. While working as a consultant on various data projects, I noticed a common challenge: teams within the company lack clarity around how some key metrics are defined and calculated in their workbooks, or different teams may have slightly different definitions of the same metric. As a next step, I wanted to explore how to use the Metadata API to build tools that help teams across an organisation understand their data assets better. Ad-hoc queries are useful to get quick answers about data sources and workbooks on your Tableau Server. In one of my previous posts I wrote about Tableau’s Metadata API and some simple queries to get started with it. TL DR: In this post you will learn how to build a data dictionary of all the calculated fields for all the workbooks published on your Tableau Server or Tableau Online using Tableau’s Metadata API. ![]()
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