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  1. Preface
  2. Introduction to Test Data Management
  3. Test Data Manager
  4. Projects
  5. Policies
  6. Data Discovery
  7. Creating a Data Subset
  8. Performing a Data Masking Operation
  9. Data Masking Techniques and Parameters
  10. Data Generation
  11. Data Generation Techniques and Parameters
  12. Working with Test Data Warehouse
  13. Analyzing Test Data with Data Coverage
  14. Plans and Workflows
  15. Monitor
  16. Reports
  17. ilmcmd
  18. tdwcmd
  19. tdwquery
  20. Appendix A: Data Type Reference
  21. Appendix B: Data Type Reference for Test Data Warehouse
  22. Appendix C: Data Type Reference for Hadoop
  23. Appendix D: Glossary

Microsoft Azure SQL Data Warehouse

Microsoft Azure SQL Data Warehouse

The following table describes the tasks that you can perform on data types in Azure SQL Data Warehouse:
Data Types
Data Movement
Entity Criteria
Data Masking
Data Generation
Comments
Bigint
Yes
Yes
Yes
Yes
Binary
Yes
Yes
Yes
Yes
You cannot use this data type if the target is the test data warehouse and you create the test data warehouse on a PostgreSQL database.
Bit
Yes
Yes
Yes
Yes
Char
Yes
Yes
Yes
Yes
Date
Yes
Yes
Yes
Yes
Datetime
Yes
Yes
No
Yes
Datetime2
Yes
Yes
Yes
Yes
Decimal
Yes
Yes
Yes
Yes
Float
Yes
Yes
Yes
Yes
Int
Yes
Yes
Yes
Yes
Money
Yes
Yes
Yes
Yes
Nchar
Yes
Yes
Yes
Yes
Nvarchar
Yes
Yes
Yes
Yes
Real
Yes
Yes
Yes
Yes
Smalldatetime
Yes
Yes
No
Yes
Smallint
Yes
Yes
Yes
Yes
Smallmoney
Yes
Yes
Yes
Yes
Tinyint
Yes
Yes
Yes
Yes
Varbinary
Yes
Yes
Yes
Yes
You cannot use this data type if the target is the test data warehouse and you create the test data warehouse on a PostgreSQL database.
Varchar
Yes
Yes
Yes
Yes

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