Course Information

Duration: 30 Hours

Timings: Week days 1-2 Hours per day (or) Weekends: 2-3 Hours per day

Method: Online/Classroom Training

Study Material: Soft Copy

Course Content

1. Data Quality Issues

• Listing the common data quality contaminants

• Describing data quality processes

2. QualityStage Overview

• Describing QualityStage architecture

• Describing QualityStage clients and their functions

3. Developing with QualityStage

• Importing metadata

• Building DataStage/QualityStage Jobs

• Running jobs

• Reviewing results

4. Investigate

• Building Investigate jobs

• Using Character Discrete, Concatenate, and Word Investigations to analyze data fields

• Reviewing results

5. Standardize

• Describing the Standardize stage

• Identifying Rule Sets

• Building jobs using the Standardize stage

• Interpreting standardize results

• Investigating unhandled data and patterns

6. Match

• Building a QualityStage job to identify matching records

• Applying multiple Match passes to increase efficiency

• Interpreting and improving Match results

7. Survive

• Building a QualityStage survive job that will consolidate matched records into a single master record

8. Two-Source Match

• Building a QualityStage job to match data using a reference match

Key Features

Instructor Led Online Training

Flexible Time At Your Convenience

Over 1,00,000+ Professionals Trained Across 100 Countries

24x7 Live Support via Chat, Mail and Phone

Corporate Training and On-Job Support

Request For Demo