Join Matt Francis for an in-depth discussion in this video Filter extract, part of Tableau 10 for Data Scientists.
- [Instructor] Tableau data extracts are a great way…to get over the problem of a slow data source.…This enables the end-user experience to be nice and fast.…There are two ways to create a Tableau data extract,…from whether we already use an existing data source…or for our new connection.…First, let's have a look at how we create an extract…from an existing data source.…This example here, we're connecting to the…sample superstore sales data in your worksheet.…So we've got a live connection to the data.…If wanna create an extract,…we simply right-click on the data source, and Extract Data.…
Tableau then asks us how much data we wanna extract.…It's at this point we could add a filter to only…pull back a subset of the data.…This is useful if we have a very large data set.…But for this example,…we're gonna just leave everything as it is,…and we'll just extract everything.…Tableau needs to know where to store this file.…A Tableau data extract is a local file…held on our file system.…It's optimized for speed, so we need somewhere to store it.…
Author
Matt Francis
Updated
4/21/2017Released
9/12/2016The training starts with one of the most important features in Tableau: the difference between the green and blue pills (discrete and continuous data) and how this affects every single action Tableau performs. Then find out how to add new maps and create more effective dashboards that maximize screen real estate. Discover how actions can link together sheets and provide greater levels of interactivity and performance, and how formatting can make an ordinary dashboard demand attention. Plus, get some bonus tips on performing date and time calculations in Tableau. This course deep-dives into the practical, applicable, and essential skills that anyone doing data visualization and analytics in a professional setting needs to have.
- Green vs. blue pills
- Using filters, colors, and dates
- Connecting to data
- Extracting data
- Cleaning and prepping data
- Pivoting data
- Merging and joining data
- Highlighting data
- Using the Analytics pane
- Creating new maps
- Creating calculations based on parameters
- Designing dashboards
Skill Level Intermediate
Duration
Views
Q. Thise course was updated 04/21/2017. What changed?
A. Videos were added to cover features in Tableau 10.2.
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Introduction
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Welcome1m 19s
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Exercise files42s
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1. Green and Blue Pills
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Discrete versus continuous3m 35s
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Rows and columns2m 57s
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Filters1m 50s
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Colors3m 37s
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Dates3m 5s
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Pills: Challenge38s
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Pills: Solution1m 30s
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2. Connect and Extract Data
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Connect to data2m 44s
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How to create a data extract3m 35s
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Filter extract3m 34s
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Extract: Solution1m 28s
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3. Transform Data
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Clean and prep your data2m 49s
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Split fields3m 16s
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Pivoting the data3m 28s
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Merge data using unions2m 32s
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Cross database joins2m 46s
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Join transformations3m 25s
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Join: Challenge42s
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Join: Solution2m 33s
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4. Analytics
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Colors to highlight data4m 7s
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Visual highlighter1m 52s
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The Analytics pane3m 47s
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Cross-database filtering1m 53s
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Analytics: Solution1m 11s
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5. Map Your Data
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When to map your data4m 1s
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Create new maps using MapBox2m 38s
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Create custom territories2m 37s
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Mapping: Solution1m 12s
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6. Parameters
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Top N analysis1m 43s
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Parameters: Solution1m 49s
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7. Dashboard Design
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Dashboard layout tips3m 15s
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Layout containers3m 9s
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Filter actions3m 19s
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Highlight actions2m 5s
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URL actions2m 22s
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Formats2m 3s
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Tooltips2m 32s
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Device-specific dashboards1m 43s
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Dashboard: Solution3m 27s
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8. Useful Calculations
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Convert strings to dates1m 49s
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Calculate time durations2m 30s
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9. Tableau 10.2 Updates
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Conclusion
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Next steps34s
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Video: Filter extract