SAP Business Objects Data Services Data Quality

“I appreciate the fact that we were able to easily deviate from the book when possible to cover more interesting & advanced topics. [Instructor] is very knowledgeable and honest about BO XI capabilities. Thanks.”
John F, FedEx

“[Instructor] is very knowledgeable in this subject and is able to communicate information in an easy, understandable manner. I look forward to doing the advanced class…”
– Kimberley G, Rogers Wireless

“This instructor gets a 10 out of 10. He is brilliant and has the expertise and teaching methodology that makes this type of course fun and educational. Highly recommend for future courses!!! OUTSTANDING!!!!!!!!!!!”
Attendee, Burger King Corporation

Course Description

This course is designed to provide the skills needed to implement Data Quality projects with SAP Business Objects Data Services. The course provides extensive hands on experience with Data Quality transformations available within SAP Business Objects Data Services to prepare you for your data quality projects.

Audience

This course is targeted for technical users who are responsible for implementing Data Quality projects within their organizations.

Objectives

After completing this course, students will be able to understand the Data Quality capabilities of SAP Business Objects Services. The course covers Data Quality transforms, such as the Address Cleanse Transforms and the Data Cleanse Transform. Students will also learn how to Match and Consolidate their data records. The course provides extensive hands on workshops in order to reinforce topics taught.

Duration & Version

2 Days – 4.x

Prerequisites

Thorough knowledge of ETL processes, the Data Integrator Platform Transforms, creating Batch Jobs and defining source and target data sources is required.

Topics Covered

Overview

What is Data Services
What is Data Quality

Using Data Quality Transforms

Understanding the basics of Data Quality Transforms

Using the Address Cleanse Transform

Understanding and Using the Address Cleanse Transform

Using the Data Cleanse Transform

Understanding and Using the Data Cleanse Transform

Match and Consolidate Data

Using the Match Wizard
Configuring the Match Transform
Perform Post-Match Processing
Consolidate Matching Records
Using Advanced Matching Strategies

 

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