Which transformation is needed while using the Cobol sources as source definitions?
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performance wise which one is better in joiner and lookup transformation
every DWH must have time dimension so now what is the use of the time dimension how we can calculate sales for one month,half-yr'ly,and year'ly?how we are doing this using time dimension.
How to write a procedure for a date which is in three different formats,and you want to load into datawarehouse in any single date formate
What are the various types of transformation?
source table have single column single record having with single space. load that source record into trg . trgt having two columns and the SOURCE TABLE LIKE COL1 BHANU PRASAD TRGT TABLE COL1 COL2 IN THAT LOAD THE RECORD IN THE trgt table LIKE COL1 COL2 BHANU PRASAD HOW ? TELL ME PLZ
What are the settings that you use to configure the joiner transformation?
i have a source table ID NAME SAL 101 A 1000 102 B 2000 103 C 1500 target load should be ID NAME SAL 101 A 1000 101 B 2000 101 C 1500 102 A 1000 102 B 2000 102 C 1500 103 A 1000 103 B 2000 103 C 1500
which transformation uses cache?
How to join a Flat and Relational Source without using (Joiner, Update and Lookup ) transformations... is it possible? if yes i would like to know how?
Which transformation should we use to normalise the COBOL and relational sources?
how to call lookup qualifer in unconnected look;up
how many types transformations supported by sortedinput?