**Tableau Certification Training: https://www.edureka.co/tableau-training-for-data-visualization ** This Edureka PPT on "Data Blending in Tableau" talks about a method for combining data when there is related data in multiple data sources, which you want to analyze together in a single view. Tableau has two inbuilt data sources named Sample-superstore and Sample coffee chain.mdb which will be used to illustrate data blending. We shall discuss the following topics: Objective of data blending Introduction to Data Blending Joining vs Blending Blending in Tableau Limitations of Data Blending Follow us to never miss an update in the future. Instagram: https://www.instagram.com/edureka_learning/ Facebook: https://www.facebook.com/edurekaIN/ Twitter: https://twitter.com/edurekain LinkedIn: https://www.linkedin.com/company/edureka

2. Agenda
Objective of Data Blending01
Introduction to Data Blending 02
Joining vs Blending03
Blending Data in Tableau 04
Limitations of Data Blending05

3. Objective of Data Blending
In Tableau

4. Objective of Data
Blending
When to use Data Blending?
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5. Objective of Data
Blending
When you want to combine data from different databases
that are not supported by cross-database joins.
When data is at different levels of detail
When you are dealing with large amounts of Data
When your data needs some cleaning
When to use Data Blending?
www.edureka.co/tableau-training-for-data-visualization

6. Introduction to Data Blending
In Tableau

7. Introduction to
Data Blending
Data blending is a method for
combining data that
supplements a table of data
from one data source with
columns of data from another
data source.
What is Data Blending?
www.edureka.co/tableau-training-for-data-visualization

8. Joining vs Blending
In Tableau

9. Data Joining
What is Joining?
User ID District Level Type
1 2 3 G
2 3 4 J
4 5 6 M
1 2 3 W
Branch User ID District Level
A1 1 2 3
B1 2 3 4
C1 1 2 3
User ID District Level Branch Type
1 2 3 A1 G
1 2 3 A1 W
1 2 3 C1 G
1 2 3 C1 W
2 3 4 B1 J
4 5 6 Null M
www.edureka.co/tableau-training-for-data-visualization

10. Data Blending
What is Blending?
User ID District Level Type
1 2 3 G
2 3 4 J
4 5 6 M
1 2 3 W
Branch User ID District Level
A1 1 2 3
B1 2 3 4
C1 1 2 3
User ID District Level Branch Type
1 2 3 * G
2 3 4 B1 J
4 5 6 Null M
1 2 3 * W
www.edureka.co/tableau-training-for-data-visualization

11. Data Blending
Suppose, the secondary data source contains a new field-Fines.
User ID District Level Type
1 2 3 G
2 3 4 J
4 5 6 M
1 2 3 W
Branch User ID District Level Fines
A1 1 2 3 10.00
B1 2 3 4 20.00
C1 1 2 3 30.00
Branch User ID District Level Fines
* 1 2 3 40.00
B1 2 3 4 20.00
* 1 2 3 40.00
User ID District Level Branch Type Fines
1 2 3 * G 40.00
2 3 4 B1 J 20.00
4 5 6 Null M Null
1 2 3 * W 20.00
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12. Blending Data
In Tableau

13. Limitations of Data Blending
In Tableau

14. Limitations of Data
Blending
Blending with Non-Additive
Aggregates
01
Compromises the speed of
Query in high Granularity
02
Null values appear after
blending data sources
03
Sort is not
Available.
04
What are the constraints that apply to Data Blending?
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