Loading...

1M424G – IBM InfoSphere DataStage v11.5 Data Masking – SPVC

Home / 1M424G – IBM InfoSphere DataStage v11.5 Data Masking – SPVC

Course Outline:

Course Outline:

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

Course Audience & Prerequisites:

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.

Course Offerings:

Self Paced

Students can receive the same high-quality training, with the same courseware at their own speed and schedule with SPVC.  Individuals with busy schedules can complete a course over a 30-day timeframe at a lower price than in-class or ILO courses. Please note that there is no live interaction with an instructor in this format.

  • Course Outline
  • Course Audience & Prerequisites
  • Course Offerings
  • Related Courses

Course Outline:

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

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.

Self Paced

Students can receive the same high-quality training, with the same courseware at their own speed and schedule with SPVC.  Individuals with busy schedules can complete a course over a 30-day timeframe at a lower price than in-class or ILO courses. Please note that there is no live interaction with an instructor in this format.