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Rules and guidelines for data validation

Rules and guidelines for data validation

Consider the following rules and guidelines for data validation:
  • When you compare data types across databases, if the corresponding Informatica native type differs in precision compared to the databases, you might see a mismatch.
  • If you compare a binary data type with data types such as string or decimal, you might see a mismatch.
  • When you compare the time data type across databases, you might see a mismatch because Informatica treats time as datetime and each database has a different default date.
  • Informatica treats the datetimeoffset data type as varchar (0). If you compare datetimeoffset values with datetime values, you might see a mismatch.
  • When you compare floating point data types across databases, the default exponential notation on each database might be different. You might see a mismatch in the case of large floating point numbers.
  • When you compare data between Oracle and Snowflake databases, if the Oracle database contains varchar data, you might see a mismatch. To prevent this issue, map Oracle varchar data to nvarchar2.
  • If an Oracle table stores Unicode data in an nvarchar column and you map the column to other databases with Unicode data, you might see a mismatch. The mismatch occurs because Oracle supports Unicode data only in its nvarchar2 data type.

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