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Tableau Cookbook - Recipes for Data Visualization

You're reading from  Tableau Cookbook - Recipes for Data Visualization

Product type Book
Published in Dec 2016
Publisher Packt
ISBN-13 9781784395513
Pages 504 pages
Edition 1st Edition
Languages
Author (1):
Shweta Sankhe-Savale Shweta Sankhe-Savale
Profile icon Shweta Sankhe-Savale

Table of Contents (18) Chapters

Tableau Cookbook – Recipes for Data Visualization
Credits
About the Author
About the Reviewer
www.PacktPub.com
Customer Feedback
Preface
1. Keep Calm and Say Hello to Tableau 2. Ready to Build Some Charts? Show Me! 3. Hungry for More Charts? Dig In! 4. Slice and Dice – Grouping, Sorting, and Filtering Data 5. Adding Flavor – Creating Calculated Fields 6. Serve It on a Dashboard! 7. The Right MIX – Blending Multiple Data Sources 8. Garnish with Reference Lines, Trends, Forecasting, and Clustering 9. Bon Appétit! Tell a Story and Share It with others 10. Formatting in Tableau for Desserts Index

Understanding Multiple Table Join across databases


In the previous recipe, we saw how to connect to a single database which was an Access file named Sample - Coffee Chain.mdb or Sample - CoffeeChain (Use instead of MS Access).xlsx and join multiple tables within it. There could also be instances where the data resides in multiple data sources. For example, the transactional sales data could be getting captured in, let's say, a SQL database and the yearly/monthly budgets are defined in Excel. In this situation, Excel is one data source and SQL is another data source. In order to see whether the targets were met or not, we would be required to get data from both Excel as well as SQL.

Cross-database Joins help us make Joins across multiple databases across a single data source, or multiple databases across multiple data sources.

Let us take a look at how we can do a cross-database join in the following recipe.

Getting ready

For this recipe, we use two of the six datasets which have been uploaded...

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