Basic IBM Optim Data Privacy for Open Systems

Currently, no providers in North America have scheduled a date for this course. We can schedule a class at one of our regional offices or on-site at your location.

Vendor:
IBM Corporation
Course:
DT210
Start Date:
Unscheduled
Length:
3 Days
Location:
Expired Class Date
Tuition:
$1,950
 

No Dates
Scheduled

Course Description

Basic IBM Optim Data Privacy for Open Systems is designed to provide technical users with a foundation in the functionality basics of the Optim Solution. This course provides both a conceptual understanding of data privacy as well as the Optim Solution's capabilities for de-identifying data for privacy protection and supporting compliance initiatives for critical business applications. This course serves as a foundation for the Optim Solution's business value, features, and functionality.

This course focuses on the technical aspects of the Optim Solution and is intended for technical audiences. You will learn the basics of how the technology works through hands-on practice and how to apply the technology to business scenarios, but not how to install and configure the technology.

This course prepares technical users with the Optim knowledge and skills necessary to participate in an Optim implementation project and confidently perform Optim tasks ongoing.

Skills Gained

Agenda

Day 1

  • IBM Optim Brand Introduction
  • Optim Architecture
  • The Optim Directory
  • Process Summary Model
  • Extracting Related Data
  • Labs
  • Relationship Transversal

Day 2

  • Defining Optim Relationships
  • Converting Data
  • Insert and Load of Converted Data
  • Compare
  • Edit
  • Import and Export (Key Concepts)
  • Restart/Retry (Key Concepts)
  • Labs

Day 3

  • Privacy Concepts
  • Data Privatization
  • Migrating Privatized Test Data
  • Labs

Who Can Benefit

This is a basic course for:

  • Application Developers
  • Database Administrators
  • Business Analysts

Prerequisites

You should have:

  • Database knowledge
  • Basic understanding of SQL

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