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Tableau Desktop Foundations
Study Checklist
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1.1.1 Create a live connection to a data source
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1.1.2 Explain the differences between using live connections versus extracts
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The primary difference between a live connection and an extract in Tableau Desktop
Learn this conceptWhen an extract is preferable over a live connection (e.g., slow database, offline use, performance)
Learn this conceptWhich file format Tableau uses when saving an extract locally
Learn this conceptHow extracts improve query performance compared to live connections
Learn this conceptHow compressing data during extract creation improves query performance
Learn this concept1.1.3 Create an extract
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1.1.4 Save metadata properties in a .TDS
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1.1.5 Create a data source that uses multiple connections
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1.2.1 Add relationships to a data source
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1.2.2 Add joins and unions
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1.2.3 Explain when to use a join versus a relationship
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1.3.1 Rename a data field
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1.3.2 Assign an alias to a data value
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1.3.3 Assign a geographic role to a data field
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1.3.4 Change data type for a data field
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1.3.5 Change default properties for a data field
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A data extract is a local, in-memory snapshot of your source data that Tableau uses to accelerate visualization queries. Unlike live connections that send dynamic queries to the original database every time, extracts pre-process and store data locally. Pre-aggregating data during extract creation reduces the total row count and file size, allowing Tableau to compute visualizations faster without repeatedly querying the source system.