Date: Fri, 29 Mar 2024 13:58:48 +0000 (UTC)
Message-ID: <1241740757.4240.1711720728773@localhost>
Subject: Exported From Confluence
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Joined data sets allow you to analyze data from more data sets t=
ogether and therefore use data from more data sources =
in a single report.
Creating Join
To create join in BellaDati:
Navigate to one of the Data Sets you want to use in jo=
in
Click on Joined Data Sets in Settings =
section of the left action bar
Choose Create Join
Select Data Set to be joined with
Join condition
Each join has to have specified following parameters:
Name : Joined data set name.
Join with : Name of the source data set to join with.=
li>
Join type : Standard join types available - match alway=
s depends on attributes .
Left outer join: Record in the target data set is not mandatory. An opt=
ional custom condition can be used.
Inner join: Record in the target data set is mandatory. An optional cus=
tom condition can be used.
Custom join: User can define own joining condition. If not specified, n=
o attribute match is required (Cross join).
Custom Join Condition
BellaDati allows you to define you own joining condition . To do so:
Select the Join type. If the Custom join is selected, no attribute match is required (Cross join).
Type joining condition to restrict the output
Multiple Join Points
One data set could be joined with more data sets (eg. join by department=
ID to get department full name, address, country, total sales and then joi=
n by product ID to get products name, price, weight and mass). Each join is=
called join point .
To add another joining point into existing join:
Click on add joining item
Select desired Data Set
Continue with Join Conditions
Joining Facts and Re=
strictions
Joined data set supports these functions the same way like in ordinary d=
ata set:
Tutorial video VIDEO
Next Steps
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