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Mastering Tableau

You're reading from   Mastering Tableau Smart Business Intelligence techniques to get maximum insights from your data

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Product type Paperback
Published in Dec 2016
Publisher Packt
ISBN-13 9781784397692
Length 476 pages
Edition 1st Edition
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Authors (2):
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Jen Stirrup Jen Stirrup
Author Profile Icon Jen Stirrup
Jen Stirrup
David Baldwin David Baldwin
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David Baldwin
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Toc

Table of Contents (14) Chapters Close

Preface 1. Getting Up to Speed – a Review of the Basics FREE CHAPTER 2. All about Data – Getting Your Data Ready 3. All about Data – Joins, Blends, and Data Structures 4. All about Data – Data Densification, Cubes, and Big Data 5. Table Calculations 6. Level of Detail Calculations 7. Beyond the Basic Chart Types 8. Mapping 9. Tableau for Presentations 10. Visualization Best Practices and Dashboard Design 11. Improving Performance 12. Interacting with Tableau Server 13. R Integration

Complex joins


The terms simple join and complex join mean different things in different contexts. For our purposes, we will consider a simple join to be a single join between two tables. Every other instance of joining will be considered complex.

Let's look at a star schema as an example of a complex join:

A star schema consists of a fact table referencing one or more dimension tables. The fact table typically contains measures, whereas dimension tables, as the name suggests, contain dimensions. Star schemas are an important part of data warehousing, since their structure is optimal for reporting.

The star schema pictured is based on the Adventure Works data warehouse for MS SQL Server 2014. The workbook associated with this chapter does not include the SQL Server database. Also, to keep the file size of the workbook small, the extract has been filtered to only include data for the United Kingdom. Access to the database may prove helpful when working through some of the exercises in this...

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