Oracle® Enterprise Data Quality for Product Data Knowledge Studio Reference Guide Release 11g R1 (11.1.1.6) Part Number E29134-02 |
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PDF · Mobi · ePub |
This reference guide is intended to explain the basic capabilities of the Oracle Enterprise Data Quality for Product Data Knowledge Studio. The document is organized as follows:
Chapters 1 through 9 describe the basic application features.
Chapters 10 through 13 describe more advanced features and functionality.
To understand all of the advanced features presented, you must use this reference guide in conjunction with the Oracle Enterprise Data Quality for Product Data documents listed in "Related Documents".
Review the following Oracle Enterprise Data Quality for Product Data documentation prior to the use of this manual is recommended:
Oracle Enterprise Data Quality for Product Data Application Studio Reference Guide
Oracle Enterprise Data Quality for Product Data Governance Studio Reference Guide
You should have a basic understanding of the DataLens Technology, including the functionality of both the Oracle Enterprise Data Quality for Product Data Application Studio and Governance Studio.
This document is intended for all users of the DataLens Technology, including:
Business Analysts
Subject Matter Experts (SMEs)
IT Administrators
Application/Solution Owners
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For more information, see the following documents in the documentation set:
The Oracle Enterprise Data Quality for Product Data Getting Started Guide provides information about how to get started with EDQP and use the Application Launch Pad to start client applications.
The Oracle Enterprise Data Quality for Product Data Application Studio Reference Guide provides information about creating and maintaining Data Service Applications (DSAs).
The Oracle Enterprise Data Quality for Product Data AutoBuild Reference Guide provides information about creating an initial data lens based on existing product information and data lens knowledge.
The Oracle Enterprise Data Quality for Product Data Governance Studio Reference Guide provides information about building projects to analyze your transformed data, create reports to show the quality of your data, and identify missing attributes.
See the latest version of this and all documents in the Oracle Enterprise Data Quality for Product Data Documentation Web site at
http://docs.oracle.com/cd/E35636_01/index.htm
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