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. Data Type Reference
  21. Data Type Reference for Test Data Warehouse
  22. Glossary

Amazon Redshift

Amazon Redshift

The following table describes the tasks that you can perform on data types in Amazon Redshift:
Data Types
Data Movement
Entity Criteria
Data Masking
Data Generation
Comments
Bigint
Yes
Yes
Yes
Yes
Bool
Yes
Yes
Yes
Yes
Boolean
Yes
Yes
Yes
Yes
Char
Yes
Yes
Yes
Yes
Date
Yes
Yes
Yes
Yes
Decimal
Yes
Yes
Yes
Yes
Double Precision
Yes
Yes
Yes
Yes
Float
Yes
Yes
Yes
Yes
Float4
Yes
Yes
Yes
Yes
Float8
Yes
Yes
Yes
Yes
Integer
Yes
Yes
Yes
Yes
Int
Yes
Yes
Yes
Yes
Int2
Yes
Yes
Yes
Yes
Int4
Yes
Yes
Yes
Yes
Int8
Yes
Yes
Yes
Yes
Nchar
Yes
Yes
Yes
Yes
Numeric
Yes
Yes
Yes
Yes
Nvarchar
Yes
Yes
Yes
Yes
Real
Yes
Yes
Yes
Yes
Text
Yes
Yes
Yes
Yes
Timestamp
Yes
Yes
Yes
Yes
Varchar
Yes
Yes
Yes
Yes
You cannot perform TDM tasks on the following Amazon Redshift data types:
  • Arrays
  • Bit
  • Bit Varying
  • Bytea
  • Composite types
  • Date/Time types
  • Interval
  • Time
  • Enumerated types
  • Geometric types
  • JSON
  • Network address types
  • Serial
  • Big serial
  • Small serial
  • Money
  • Object identifier types
  • Pseudo types
  • Range types
  • Text search types
  • Transaction ID snapshot
  • UUID
  • XML