Various time ,we need to filter null values in informatica. We can remove them for further processing or other scenarios also . Check Informatica scenarios of filtering out rows with null values . To filter our rows with null values , we can use it in Source qualifier's over ride SQL or you can use filter transformation in informatica. Must check : Normalizer Transformation in informatica To filter out rows containing null values or spaces, use the ISNULL and IS_SPACES functions to test the value of the port. For example, if we want to filter out rows that contain NULLs in the FIRST_NAME port, use the following condition: IIF(ISNULL(FIRST_NAME),FALSE,TRUE) This condition states that if the FIRST_NAME port is NULL, the return value is FALSE and the row should be discarded. Otherwise, the row passes through to the next transformation. Must check : Lookup Transformation in informatica Searches related to how to filter null values in informatica informatica isnull filter condition how to handle null values in informatica informatica filter is not null filter null values in sql filter null values in sql server powershell filter null values qlikview filter null values isnull in informatica syntax
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Rank Transformation in Informatica , is a connected and active /Passive transformation which select top/bottom rows of input. It is something similar to Rank analytical data function or oracle. Only difference is that, it also filter out the remaining rows (which are not a part of top/bottom threshold).
Must check : Please also check how to create Aggregator TransformationHow Rank Transformation works in Informatica?It first cache all the input data and then performs the rank calculation per group , filter out the unwanted records.Steps to create an Rank transformation:
Lookup Transformation in Informatica , is a connected/Unconnected and Passive (post 9 Active and Passive transformation) which let you look up data flat file/relation tables ,views or synonym.The Integration Service queries the lookup source based on the lookup ports in the transformation and a lookup condition. Lookup transformation returns the result of the lookup to the target or another transformation. Informatica scenarios of Lookup Transformation You can use lookup Transformation in mapping for below type of tasks:
Types of Lookup Transformation in Informatica:A. Based on the Source Type:
Check here for Relational vs flat file lookup transformation in informatica B. Based on Connection Type:connected Lookup transformationUnconnected Lookup Transformation
Check here for Difference between connected and unconnected lookup transformation 3. Based on Cached Type
Example of Lookup Transformation :Check here for Connected lookup transformation in informatica Check here for Unconnected lookup transformation in informatica Incoming Search Terms :- lookup transformation properties lookup transformation in informatica with example lookup transformation in informatica interview questions how to implement lookup transformation in informatica lookup transformation in informatica tutorial lookup transformation in informatica pdf dynamic lookup transformation in informatica lookup transformation in informatica ppt
Normalizer Transformation in Informatica , is a connected and active transformation which let you to normalize your data by receiving a row with information scatter in multiple columns to multiple row a for each instance of column data.For example a student have score for each subject scattered in 5 columns ,with the help of normalizer transformation you can create multiple rows for each subject (Normalization of Database) .
Normalizer Transformation help in normalizing your data , making it for flexible by eliminating redundancy and inconsistent dependency. It help you representing data in more better manner. Is Normalizer Transformation Active or Passive ? Normalizer Transformation is a Active transformation as it create multiple row for each input row. Is Normalizer Transformation Connected or Unconnected ? Normalizer Transformation is a Connected Transformation. Check here for filter transformation example in informatica
How to use Normalizer transformation in Informatica:Use the following procedure to create a Normalizer transformation in Informatica mapping. Steps to create an Normalizer transformation
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Union Transformation in Informatica , is a connected and active transformation which let you to merge data from multiple pipelines or pipeline branches into one pipeline branch. Union Transformation merges data of similar source based on UNION ALL SQL statement.
Business scenarios of Union Transformation in InformaticaAs name predict , Union transformation is used to merge data from multiple pipelines into single one.Is Union Transformation Active or Passive ?Union Transformation is a Active transformation as it combines two or more data streams into one. Although no of rows from multiple input and Output is same, but order in which these row are coming to output can change.Is Union Transformation Connected or Unconnected ?Union Transformation is a Connected Transformation.How Union Transformation work ?The Integration Service processes all input groups in parallel. It reads sources connected to the Union transformation and pushes blocks of data into the input groups of the transformation. The Union transformation processes the blocks of data based on the order it receives the blocks from the Integration Service irrespective.Configuring Union Transformation Properties:Modify the Union Transformation properties by clicking on the Properties tab.Check here for filter transformation example in informatica How to use Union transformation in Informatica:Use the following procedure to create an Union transformation in Informatica mapping.Steps to create an Union transformation:
Example of Union Transformation:Check here for Union transformation example in informatica Incoming search Terms :union transformation in informatica is union all union transformation in informatica interview questions how to use union transformation in informatica union transformation in informatica is active or passive union transformation in informatica video union transformation in informatica scenarios union transformation in informatica active or passive union transformation active or passive union transformation interview questions union transformation in informatica interview questions union transformation in informatica example example of union transformation in informatica union transformation properties in informatica union transformation in informatica is union all
Router Transformation in Informatica , is a connected and active transformation which let you to transfer data to multiple target depending upon the different condition. A Filter transformation rejects the row which don't satisfy its condition whereas Router Transformation allows you to pass the failed data to some default target as well. [caption id="attachment_271" align="alignnone" width="300"] Router Transformation informatica[/caption]
Business scenarios of Router TransformationUnlike Filter Transformation , Router Transformation provide you the flexibility of populating multiple target depending upon the different type of conditions. It also allow you to add multiple condition for each target .Failed records can also be extracted from the default group.Is Router Transformation Active or Passive ?Router Transformation in Informatica is an active transformation a its Routes data into multiple groups based on group conditionsIs Router Transformation Connected or Unconnected ?Router Transformation is a Connected Transformation.How to use Router transformation in InformaticaUse the following procedure to create an Router transformation in Informatica mapping.Steps to create an Router transformation:
Note: After you make the transformation reusable, you cannot copy ports from the source qualifier or other transformations. You can create ports manually within the transformation.Example of Router TransformationCheck example of Router Transformation in informatica Incoming Search Terms : rank transformation in informatica rank transformation in informatica with example rank transformation example in informatica how to add rank transformation in informatica mapping rank transformation groups example of rank transformation in informatica router transformation in informatica interview questions default group in router transformation in informatica router transformation in informatica is active or passive
Joiner Transformation in Informatica , is a connected and active transformation which let you join data from two heterogeneous source (same source system or different source system). The Joiner transformation joins sources with at least one matching column.
Business Scenarios of Joiner TransformationAs the name predict itself , the Joiner transformation is use to join data from two heterogeneous sources or data from the same source. The Joiner transformation uses a condition that matches one or more pairs of columns between the two sources. Out of two input , one is consider as master pipeline ( it is loaded first in the data cache) , then the other one is Detail pipeline which is joined with the Master data.Is Joiner Transformation Active or Passive ?Joiner Transformation is an active transformation as no of output rows changes based on join condition and join typeIs Joiner Transformation Connected or UnconnectedJoiner Transformation is a Connected Transformation.Properties of Joiner Transformation in InformaticaMust read :Joiner vs union transformation in informaticaComponents of Joiner Transformation in Informatica
Join Type of Joiner TransformationNormal Join in joiner transformation A normal join will allow only those records which satisfy the joiner condition for both sources. So remaining records, who don't match the condition get discarded Master Outer Join in joiner transformation A master outer join will keeps all rows of data from the detail source and the matching rows from the master source. If any of master records don't satisfy the condition , those rows get discarded. Detail Outer Join in joiner transformation Just opposite to Master Outer join , it keep all rows of data from Master Source and the matching rows from Details Source. If any of detail records don't satisfy the condition , those rows get discarded. Full Outer Join in joiner transformation A full outer join keeps all rows of data from both the master and detail sources. Must Read : Learn more about Expression Transformation How to use Joiner transformation in Informatica ? Use the following procedure to create an Joiner transformation in Informatica mapping.Steps to create an Joiner transformation:
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Aggregator Transformation in Informatica , is a connected Active transformation which let you performs aggregate calculations, such as averages and sums on the group of data. Aggregator transformation is differ from Expression transformation , as you use Aggregator transformation to perform calculations on groups . The Expression transformation permits you to perform calculations on a row-by-row basis only.
Aggregator transformation in informatica scenarios The Aggregator transformation is use to perform aggregate calculations for each data. Data can be modified using built-in functions . Sample calculation peformed by the Aggregate transformer are :
Is Aggregator Transformation Active or Passive ?Aggregator Transformation is a Active transformation as it also enable you to use conditional clauses to filter rows.Is Aggregator Transformation Connected or Unconnected ?Aggregator Transformation is a connected Transformation.Components of Aggregator Transformation:
Configuring Aggregator Transformation Ports:You can configure the following components on the ports tab
Check here for expression transformation in informatica
Steps to create an Aggregator transformation
Example of Aggregator Transformation:
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Expression Transformation , is a connected and passive transformation (number of input and output rows is the same), which let you modify individual ports of a single row , or add or suppress them. For example: calculating annual Salary, concatenation. In below article we will go through the properties of Expression Transformation.
Check here for filter transformation example in informatica
Why expression transformation is passive transformation ?Expression Transformation is a Passive transformation as it only modifies the incoming port data , but it does'n effect the number of rows processed.Expression Transformation is Connected or Unconnected ?Expression Transformation is a Connected Transformation.steps to add Expression transformation in InformaticaUse the following procedure to create an Expression transformation.Steps to create an Expression transformation:
After you make the transformation reusable, you cannot copy ports from the source qualifier or other transformations. You can create ports manually within the transformation
Expression Transformation Components or TabsAn Expression transformation contains the following tabs:
Configuring Ports: You can configure the following components on the ports tab
Check here example of Expression Transformation
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Expression Transformation , is a connected and passive transformation (number of input and output rows is the same), which let you modify individual ports of a single row , or add or suppress them. For example: calculating annual Salary, concatenation. In below article we will go through the properties of Expression Transformation.
Check here for filter transformation example in informatica
Why expression transformation is passive transformation ?Expression Transformation is a Passive transformation as it only modifies the incoming port data , but it does'n effect the number of rows processed.Expression Transformation is Connected or Unconnected ?Expression Transformation is a Connected Transformation.steps to add Expression transformation in InformaticaUse the following procedure to create an Expression transformation.Steps to create an Expression transformation:
After you make the transformation reusable, you cannot copy ports from the source qualifier or other transformations. You can create ports manually within the transformation
Expression Transformation Components or TabsAn Expression transformation contains the following tabs:
Configuring Ports: You can configure the following components on the ports tab
Check here example of Expression Transformation
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Filter Transformation: Filter Transformation is one of the most used transformation in Informatica which basically filter out the unwanted records from input data stream. Properties of Filter Transformation:
Performance Tuning Guidelines filter transformation :
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