Objectives of the course

The course will try to achieve the objective of making the student capable of:
Identifying primary objectives in a data quality project
Defining project metadata
Forming and executing workflows
Generating NER/Probabilistic Models
Building Identity Match mappings

Target audience

1) Data Stewards
2) Data Quality Developers

Course agenda

The course is divided into 5 sections.

First Section
The first section will deal with preparing the database for Data Quality Management, observing the continuing nature of data quality and developing data quality business case.

Second Section
The second section will focus on developing the core data quality improvement skills of the student using the Informatica Analyst 10 tool.

Third Section
Students will be guided through reference materials that describe in detail everything about data quality management.

1) Data Quality 10.1 Getting Started Guide
2) Informatica 10.1 Developer Tool Guide
3) Informatica 10.1 Analyst Tool Guide
4) Data Quality 10.1 Rule Specification Guide

Fourth Section
The student will be given the Data Quality 10 Developer, Specialist certification