SAP BusinessObjects Data Services Blueprints
A Data Quality Blueprint is a sample SAP BusinessObjects Data Services job that is configured with best practices to solve a specific Data Quality scenario. Each blueprint is an end-to-end job that includes sample data and may be run in the customer's environment with only a few modifications. Some jobs include batch dataflows and some include real-time dataflows; some jobs include party data and some include product data.
Download the Content Objects User's Guide - version 3.2 or Content Objects User's Guide - version 3.0 to configure and set up SAP BusinessObjects Data Services blueprints and other objects. To contribute your own blueprints, visit the How to Contribute page.
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Blueprint |
Description |
|---|---|
| Contains sample jobs configured to illustrate best practice settings for common Data Quality use cases involving customer data in France. | |
| Contains sample jobs configured to illustrate best practice settings for common Data Quality use cases involving customer data in Germany. | |
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Contains sample jobs configured to illustrate best practice settings for common Data Quality use cases involving customer data in Japan. | |
| Contains sample jobs configured to illustrate best practice settings for common Data Quality use cases involving customer data in the United States. | |
| Contains sample jobs configured to illustrate best practice settings for common Data Quality use cases involving customer data in the United States, with regulatory address certification enabled. | |
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Contains sample jobs configured to illustrate parsing and standardizing of product data using Universal Data Cleanse. | |
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Contains a job that reads data from a multi-sheet Excel spreadsheet and generates a bulk load XML file that is ready to be bulk loaded into a custom Universal Data Cleanse dictionary. | |
|
Contains custom functions that assist in the Data Quality process. | |
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Contains sample jobs configured for Data Insight to perform truth data queries from Data Services. |
|
Blueprint |
Description |
|---|---|
| Contains sample jobs configured to illustrate best practice settings for common Data Quality use cases involving customer data in France. | |
|
Contains sample jobs configured to illustrate best practice settings for common Data Quality use cases involving customer data in Germany. | |
|
Contains sample jobs configured to illustrate best practice settings for common Data Quality use cases involving customer data in the United States. | |
|
Contains sample jobs configured to illustrate best practice settings for common Data Quality use cases involving customer data in the United States, with regulatory address certification enabled. | |
|
Contains sample jobs configured to illustrate parsing and standardizing of product data using Universal Data Cleanse. | |
|
Contains a job that reads data from a multi-sheet Excel spreadsheet and generates a bulk load XML file that is ready to be bulk loaded into a custom Universal Data Cleanse dictionary. | |
|
Contains custom functions that assist in the Data Quality process. | |
|
Contains sample jobs configured for Data Insight to perform truth data queries from Data Services. |
