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Course Description
In this IBM InfoSphere DataStage v11.5 Data Masking course Students will describe how the Data Masking Pack works; understand how to apply policies for different data types, understand how hash lookup policies work; create a data masking job.
If you are enrolling in a Self Paced Virtual Classroom or Web Based Training course, before you enroll, please review the Self-Paced Virtual Classes and Web-Based Training Classes on our Terms and Conditions page, as well as the system requirements, to ensure that your system meets the minimum requirements for this course.
Objectives
Please refer to course overview
Audience
Experienced DataStage developers
Prerequisites
Those taking this course should have basic knowledge of the Windows operating system. Familiarity with Information Server products is desirable but not required
Content
Introduction to Data Masking
- What is Data Masking?
- The DataStage Data Masking stage
- Data masking techniques
Masking Policies
- Overview
- Credit card number
- Email address
- Hash lookup
- Repeatable Replacement
Creating a Data Masking Job
- Configuring stage properties
- Configuring link properties
- Configuring Data Masking policy
- Setting up your own reference table
Masking Customer Data Lab
- Create a job for masking customer data
- Create a reject link in the Data Masking stage
Repeatable Mask Lab
- Creating a repeatable mask for customer data
Reference Tables Lab
- Use reference tables for masking data