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Pentagon Data Integration (PDI) Techniques Standards for Lookups, Joins, and SubroutinesChange log (if you want to use it): DateVersionAuthor10/11/20171.0Matthew CasperChangesContents Overview ..............................................................................................................................................................
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How to fill out pdi lookups joins and
How to fill out pdi lookups joins and
01
To fill out PDI lookup joins, follow these steps:
02
Open PDI and navigate to the transformation where you want to use lookup joins.
03
Drag and drop the Lookup step from the Design tab onto the canvas.
04
Double-click on the Lookup step to open its properties window.
05
In the properties window, go to the 'General' tab.
06
Configure the 'Lookup Type' according to your requirements. You can choose from 'Cached', 'Database', 'Stream', or 'Remote'.
07
Set the 'Connection' details for the lookup table. This includes specifying the database connection, schema, and table name.
08
Define the 'Keys' that will be used to join the lookup table with the main data stream. These keys should be common between the two sources.
09
Map the 'Return field' from the lookup table to the desired field in the main data stream.
10
Configure any additional lookup options such as 'Case-insensitive comparison' or 'Multiple matches behavior'.
11
Save and close the properties window. Your lookup join is now set up and ready to be used in the transformation.
Who needs pdi lookups joins and?
01
PDI lookup joins are useful for anyone working with Pentaho Data Integration (PDI) who needs to perform lookups and join data from multiple sources.
02
They are particularly beneficial for data analysts, ETL developers, and data engineers who need to combine data from different tables or databases based on a specific condition or key.
03
Using lookup joins, these professionals can enrich their data sets with additional information, perform data cleansing tasks, and create unified views for reporting and analysis purposes.
04
Overall, anyone who wants to enhance their data integration and transformation processes can benefit from using PDI lookup joins.
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What is pdi lookups joins and?
PDI Lookups Joins is a feature in Pentaho Data Integration tool that allows you to join data from different sources based on a common key.
Who is required to file pdi lookups joins and?
Data analysts, data engineers, and ETL developers are typically required to use PDI Lookups Joins in their data integration projects.
How to fill out pdi lookups joins and?
To fill out PDI Lookups Joins, you need to specify the input sources, select the keys to join on, and configure the output fields.
What is the purpose of pdi lookups joins and?
The purpose of PDI Lookups Joins is to combine data from multiple sources and create a single, unified dataset for analysis or processing.
What information must be reported on pdi lookups joins and?
You must report the names of the input sources, the keys used for joining, and the fields included in the output dataset.
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