17 Aug 2021

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We covered how to limit the amount of data being queried (to speed up development) and returned in the data source query for both extracts, using various extract options, and live connections, using data source filters.
We also referred to a knowledge base article that allows you to create an empty extract locally, so that the extract process is run on the server and doesn’t take up either local compute time and resources nor network traffic.
We started some debugging on Helens application of the patient pathway analysis to her own data. We partially fixed her Index() problem (and finished this the next day). We also debugged a dashboard filter action that was causing an irregular outcome when showing “Top X” patients differently in 2 worksheets.
We looked at how the later editions of Tableau have Data Relationships (a logical layer above the physical layer) that hides the physical joining process. We also joined a a table to itself to recreate the joining of two custom SQL statements.
We then took a look at the Tableau Workbook Performance log and automatically created workbook that analyses the performance of actions taken by the user to help debug asa well as analyse the underlying SQL that Tableau creates.

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