Satyajit Singh has given a session on Test Data Management In a Nutshell in ATA 16th Mumbai Meetup. All copyright belongs to the author.

1. 1

2. Why TDM
 Data quality issue in test environment
 Data security compliance and regulation
 Refresh ,reset and maintain environments
quickly
 Better archiving strategy and provide virtual
data at any point of time
2

3. 3
Test Data Management
Test data Management is the process of creation and management of
the realistic right sized test data in non production environments
Test Data Management
Solutions
Data Archive
Data Refresh
Data Masking
Data Sub-Setting
Data Generation

4. 
Data Masking
4
What is Data Masking
The process whereby the information in a database is masked or ‘de-identified’ “
is called as Data Masking
It enables the creation of realistic data in non-production environments without
the risk of exposing sensitive information to unauthorized users
Data masking ensures the protection of sensitive information from a multitude
of threats posed both outside and inside the organization’s perimeter
Also referred to as data de-identification, data depersonalization, data
scrubbing, data scrambling, data obfuscation, etc.
Masking should always be a irreversible process.

5.  STATIC MASKING : Create a copy of master data and apply masking algorithm
 DYNAMIC MASKING : Doesn’t create a separate copy perform masking
dynamically.
Static Masking
TYPES OF DATA MASKING
5
Production
Db
Test DbMasking
Engine

6. Dynamic Masking
6

7.  SHUFFLIING : shuffles the data within the same column
 SUBSTITUTION: substitute data from a look up table
 NULLING :substitute data with null or ******
 User defined :Rules can be customized
DATA MASKING TECHNIQUES
7

8. Example of data masking: How the data looks like after
masking
EMPLOYEE NO EMPLOYEE NAME
1 SATYAJIT
2 BINEETA
3 AASHUTOSH
4 ROHIT
The original data:
After using masking techniques:
1. After Shuffling:
EMPLOYEE NO EMPLOYEE NAME
1 AASHOTOSH
2 SATYAJIT
3 ROHIT
4 BINEETA
2. After Substitution:
EMPLOYEE NO EMPLOYEE NAME
1 RAM
2 RADHA
3 AASHUTOSH
4 ROHIT
8

9.  Understanding the compliance
 Data profiling
 Setting up masking standards
 Masking the data
 Validation as per compliance
Masking Implementation
9

10. IBM OPTIM
10

11. Productio
n
database
Test
Database
Access
Definition
Extract
file
Column Map
Masked
File
Extract
process
Convert
Process
Insert/Load
Insert/loa
d
END TO END
PROCESS
11

12. 12