Audience Profile

• Project team members with basic knowledge of Data Warehousing and data integration concepts
• Data Warehousing consultants and project managers who work with data quality projects

At Course Completion

• Participants will gain the knowledge to create efficient data quality projects as part of an overall data integration process.
• The knowledge you will acquire will help you to cleanse address and company data and match and cleanse data records

Prerequisites

Essential:

• Basic knowledge of data warehousing and ETL (Extraction, Transfer and Loading) concepts

Recommended:

• Basic knowledge of SQL language
• Basic knowledge of elementary procedural programming

CPE Credits

24 credits

Course Outline

• Describing Data Quality Services
• Using data quality transforms
• Using address cleanse transforms
• Using data cleanse transforms
• Matching and consolidating data