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Datastage Tutorials

Monday, 14 March 2011. How to Transform and Filter data in datastage. It's a very common situation and a good practice to design data stage jobs in which data flow goes in the following way:. EXTRACT SOURCE -It's a very common situation and a good practice to design datastage jobs in which data flow goes in the following way:. EXTRACT SOURCE - DATA VALIDATION, REFINING, CLEANSING - MAPPING - DESTINATION. Please refer to the examples below to find out what is the use of transformers. The data refining, va...

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Monday, 14 March 2011. How to Transform and Filter data in datastage. It's a very common situation and a good practice to design data stage jobs in which data flow goes in the following way:. EXTRACT SOURCE -It's a very common situation and a good practice to design datastage jobs in which data flow goes in the following way:. EXTRACT SOURCE - DATA VALIDATION, REFINING, CLEANSING - MAPPING - DESTINATION. Please refer to the examples below to find out what is the use of transformers. The data refining, va...

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Datastage Tutorials | evergreendatastage.blogspot.com Reviews

https://evergreendatastage.blogspot.com

Monday, 14 March 2011. How to Transform and Filter data in datastage. It's a very common situation and a good practice to design data stage jobs in which data flow goes in the following way:. EXTRACT SOURCE -It's a very common situation and a good practice to design datastage jobs in which data flow goes in the following way:. EXTRACT SOURCE - DATA VALIDATION, REFINING, CLEANSING - MAPPING - DESTINATION. Please refer to the examples below to find out what is the use of transformers. The data refining, va...

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Datastage Tutorials: February 2011

http://evergreendatastage.blogspot.com/2011_02_01_archive.html

Monday, 28 February 2011. 1) Why job sequence is use? What is the difference between job sequence and batches? 2) Why is hash file is faster than sequential file n odbc stage? Hash file is indexed. Also it works under hashing algo. That's why the search is faster in hash file. What is complex stage? In which situation we are using this one? 3) What are the main diff between server job and parallel job in DataStage. 4) Differentiate between pipeline and partion parallelism? Partition Pipeline- consider 3 ...

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Datastage Tutorials: How to perform a Lookup in Datastage

http://evergreendatastage.blogspot.com/2011/03/how-to-perform-lookup-in-datastage.html

Monday, 14 March 2011. How to perform a Lookup in Datastage. The data in Datastage can be looked up from a hashed file or from a database (ODBC/ORACLE) source. Lookups are always managed by the transformer stage. A Hashed File is a reference table based on key fields which provides fast access for lookups. They are very useful as a temporary or non-volatile program storage area. An advantage of using hashed files is that they can be filled up with remote data locally for better performance. In the job de...

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Datastage Tutorials: March 2011

http://evergreendatastage.blogspot.com/2011_03_01_archive.html

Monday, 14 March 2011. How to Transform and Filter data in datastage. It's a very common situation and a good practice to design data stage jobs in which data flow goes in the following way:. EXTRACT SOURCE -It's a very common situation and a good practice to design datastage jobs in which data flow goes in the following way:. EXTRACT SOURCE - DATA VALIDATION, REFINING, CLEANSING - MAPPING - DESTINATION. Please refer to the examples below to find out what is the use of transformers. The data refining, va...

4

Datastage Tutorials: Datastage FAQS

http://evergreendatastage.blogspot.com/2011/02/datastage-faqs.html

Monday, 28 February 2011. 1) Why job sequence is use? What is the difference between job sequence and batches? 2) Why is hash file is faster than sequential file n odbc stage? Hash file is indexed. Also it works under hashing algo. That's why the search is faster in hash file. What is complex stage? In which situation we are using this one? 3) What are the main diff between server job and parallel job in DataStage. 4) Differentiate between pipeline and partion parallelism? Partition Pipeline- consider 3 ...

5

Datastage Tutorials: SCD type 2 implementation in Datastage

http://evergreendatastage.blogspot.com/2011/03/scd-type-2-implementation-in-datastage.html

Monday, 14 March 2011. SCD type 2 implementation in Datastage. Slowly changing dimension Type 2 is a model where the whole history is stored in the database. An additional dimension record is created and the segmenting between the old record values and the new (current) value is easy to extract and the history is clear. The fields 'effective date' and 'current indicator' are very often used in that dimension and the fact table usually stores dimension key and version number. Datastage SCD2 job design.

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Monday, 14 March 2011. How to Transform and Filter data in datastage. It's a very common situation and a good practice to design data stage jobs in which data flow goes in the following way:. EXTRACT SOURCE -It's a very common situation and a good practice to design datastage jobs in which data flow goes in the following way:. EXTRACT SOURCE - DATA VALIDATION, REFINING, CLEANSING - MAPPING - DESTINATION. Please refer to the examples below to find out what is the use of transformers. The data refining, va...

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