** Conditional split: This transformation is used to split the data based on a condition and it is also a Asynchronous transformation
** Here we check the condition for each and every record and move the data as the o/p for first matching condition, record not satisfying any condition will be moved to default group.
Example: Take employee table using sort t/r eliminate duplicate rows for Sal column and then using conditional split, split the table based on deptno and at destination add another identity column for no of employees for each dept.
**Derived Column: By using this transformation we can add or change existing column data by some expression..
** It is synchronous transformation.
Example: Add another tax column for emp table by writing expression as Sal*0.1,
Change existing column ename as Upper(ename).
** Here we check the condition for each and every record and move the data as the o/p for first matching condition, record not satisfying any condition will be moved to default group.
Example: Take employee table using sort t/r eliminate duplicate rows for Sal column and then using conditional split, split the table based on deptno and at destination add another identity column for no of employees for each dept.
**Derived Column: By using this transformation we can add or change existing column data by some expression..
** It is synchronous transformation.
Example: Add another tax column for emp table by writing expression as Sal*0.1,
Change existing column ename as Upper(ename).
Comments
Post a Comment