Table of Contents

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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

Netezza

Netezza

The following table describes the operations that you can perform on data types in Netezza database:
Data Types
Data Generation
Bigint
Yes
Boolean
Yes
Bpchar
Yes
Byteint
Yes
Char
Yes
Date
Yes
Double
Yes
Float
Yes
Int1
Yes
Int2
Yes
Int4
Yes
Int8
Yes
Integer
Yes
Nchar
Yes
Nvarchar
Yes
Real
Yes
Smallint
Yes
Time
Yes
Timestamp
Yes
Varchar
Yes
You cannot perform data masking, data subset, profiling, and data generation operations on the following Netezza data types:
  • Decimal
  • Decimal (38,0)
  • Decimal (38,38)
  • Interval
  • Interval day
  • Interval day to hour
  • Interval day to minute
  • Interval hour to second
  • Interval hour
  • Interval hour to minute
  • Interval hour to second
  • Interval minute
  • Interval minute to second
  • Interval month
  • Interval second
  • Interval year
  • Interval year to month
  • Numeric
  • ST_Geometry
  • Timetz
  • Varbinary