SAP BusinessObjects Data Services Blueprints

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SAP BusinessObjects Data Services Blueprints

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SAP BusinessObjects Data Services Blueprints

由
SAP User

于 2008-10-3 上午12:00 创建，由

Karen Neeb 于 2012-10-9 下午4:14 执行最后修改

版本 17

A blueprint is a sample SAP BusinessObjects Data Services job that is configured with best practices to solve a specific scenario. Each blueprint is an end-to-end job that includes sample data and may be run in the customer
environment with only a few modifications. Some jobs include batch data flows and some include real-time data flows; some jobs include party data and some include product data. Data quality jobs include structured data, and text data processing jobs include
unstructured data.

Data Quality 4.1 blueprints and other tools

To configure and set up SAP BusinessObjects Data Services blueprints and other objects, download the appropriate User's Guide in the Documentation column below.
To view a list of new blueprints and other feature in this release, download the
What's New document.
To view a detailed list of the available blueprints, other objects, and their contents, download the
Content Objects Summary – version 4.1.
To contribute your own blueprints, visit the
How to Contribute
page.

Data Quality blueprints:

Blueprint (version 4.1)	Description	Documentation
Data Quality Blueprints 4.1 – Brazil	Contains sample jobs configured to illustrate best practice settings for common Data Quality use cases involving party data in Brazil.	DQM_Regional.pdf
Data Quality Blueprints 4.1 – China	Contains sample jobs configured to illustrate best practice settings for common Data Quality use cases involving party data in China.
Data Quality Blueprints 4.1 – France	Contains sample jobs configured to illustrate best practice settings for common Data Quality use cases involving party data in France.
Data Quality Blueprints 4.1 – Germany	Contains sample jobs configured to illustrate best practice settings for common Data Quality use cases involving party data in Germany.
Data Quality Blueprints 4.1 – Global	Contains sample jobs configured to illustrate best practice settings for common Data Quality use cases involving party data when the data consists of multiple countries.
Data Quality Blueprints 4.1 – India	Contains sample jobs configured to illustrate best practice settings for common Data Quality use cases involving party data in India.
Data Quality Blueprints 4.1 – Japan	Contains sample jobs configured to illustrate best practice settings for common Data Quality use cases involving party data in Japan.
Data Quality Blueprints 4.1 – Mexico	Contains sample jobs configured to illustrate best practice settings for common Data Quality use cases involving party data in Mexico.
Data Quality Blueprints 4.1 – USA	Contains sample jobs configured to illustrate best practice settings for common Data Quality use cases involving party data in the United States.
Data Quality Blueprints 4.1 – Match	Contains miscellaneous jobs configured to illustrate best practice settings for specific Data Quality matching use cases.	DQM_Match.pdf

Other 4.1 tools:

Tool (version 4.1)	Description	Documentation
Data Quality Custom Functions 4.1	Contains custom functions that perform additional manipulation of data that is not part of the functionality of Data Quality transforms, but are common functions that assist with the cleansing and matching of party data.	Custom_Functions.pdf

Data Quality Custom Functions 4.1

Contains custom functions that perform additional manipulation of data that is not part of the functionality of Data Quality transforms, but are common functions that assist with the cleansing and matching of party data.

Custom_Functions.pdf

Data Quality and Text Data Processing 4.0 blueprints and other tools

To configure and set up SAP BusinessObjects Data Services blueprints and other objects, download the appropriate User's Guide in the Documentation column.
To view a detailed list of the available blueprints, other objects, and their contents, download the

Content Objects Summary – version 4.0.
To contribute your own blueprints, visit the
How to Contribute page.

Data Quality blueprints:

Blueprint (version 4.0)	Description	Documentation
Data Quality Blueprints 4.0 – Brazil	Contains sample jobs configured to illustrate best practice settings for common Data Quality use cases involving party data in Brazil.	DQ_Regional.pdf
Data Quality Blueprints 4.0 – France	Contains sample jobs configured to illustrate best practice settings for common Data Quality use cases involving party data in France.
Data Quality Blueprints 4.0 – Germany	Contains sample jobs configured to illustrate best practice settings for common Data Quality use cases involving party data in Germany.
Data Quality Blueprints 4.0 – Global	Contains sample jobs configured to illustrate best practice settings for common Data Quality use cases involving party data when the data consists of multiple countries.
Data Quality Blueprints 4.0 – India	Contains sample jobs configured to illustrate best practice settings for common Data Quality use cases involving party data in India.
Data Quality Blueprints 4.0 – Japan	Contains sample jobs configured to illustrate best practice settings for common Data Quality use cases involving party data in Japan.
Data Quality Blueprints 4.0 – Mexico	Contains sample jobs configured to illustrate best practice settings for common Data Quality use cases involving party data in Mexico.
Data Quality Blueprints 4.0 – USA	Contains sample jobs configured to illustrate best practice settings for common Data Quality use cases involving party data in the United States.
Data Quality Blueprints 4.0 – USA Regulatory	Contains sample jobs configured to illustrate best practice settings for common Data Quality use cases involving party data in the United States, with regulatory address certification enabled.
Data Quality Blueprints 4.0 – Match	Contains miscellaneous jobs configured to illustrate best practice settings for specific Data Quality matching use cases.	DQ_Match.pdf

Text Data Processing Language 4.0 blueprints:

Blueprint (version 4.0)	Description	Documentation
Text Data Processing Blueprints 4.0 – English	Contains sample jobs configured to illustrate best practice settings for common Text Data Processing use cases involving unstructured text in the English language.	TDP_Lang.pdf
Text Data Processing Blueprints 4.0 – German	Contains sample jobs configured to illustrate best practice settings for common Text Data Processing use cases involving unstructured text in the German language.

Text Data Processing Data Quality 4.0 blueprints:

Blueprint (version 4.0)	Description	Documentation
Text Data Processing Blueprints 4.0 – Data Quality	Contains sample jobs configured to illustrate the use of Text Data Processing in conjunction with Data Quality. It also helps you visualize the extracted concepts and sentiments using an SAP BusinessObjects BI 4.0 Universe and SAP BusinessObjects Web Intelligence reports.	TDP_DQ.pdf

Other 4.0 tools:

Tool (version 4.0)	Description	Documentation
Data Quality Custom Functions 4.0	Contains custom functions that perform additional manipulation of data that is not part of the functionality of Data Quality transforms, but are common functions that assist with the cleansing and matching of party data.	Custom_Functions.pdf
Text Data Processing 4.0 – Entity Extraction Dictionary File Generator	An Excel spreadsheet with a macro that generates a dictionary source file based on the content in the spreadsheet and compiles the source file into a ready-to-use dictionary file for the Text Data Processing Entity Extraction transform.	TDP_Dictionary.pdf

Data Quality 3.2 blueprints and other tools

To configure and set up SAP BusinessObjects Data Services blueprints and other objects, download the
Content Objects User's Guide version 3.2.
To view a detailed list of the available blueprints, other objects, and their contents, download the
Content Objects Summary version 3.2.
To contribute your own blueprints, visit the
How to Contribute
page.

Blueprint (version 3.2)	Description
Data Quality Blueprints 3.2 – Brazil	Contains sample jobs configured to illustrate best practice settings for common Data Quality use cases involving party data in Brazil.
Data Quality Blueprints 3.2 – France	Contains sample jobs configured to illustrate best practice settings for common Data Quality use cases involving party data in France.
Data Quality Blueprints 3.2 – Germany	Contains sample jobs configured to illustrate best practice settings for common Data Quality use cases involving party data in Germany.
Data Quality Blueprints 3.2 – India	Contains sample jobs configured to illustrate best practice settings for common Data Quality use cases involving party data in India.
Data Quality Blueprints 3.2 – Japan	Contains sample jobs configured to illustrate best practice settings for common Data Quality use cases involving party data in Japan.
Data Quality Blueprints 3.2 – Mexico	Contains sample jobs configured to illustrate best practice settings for common Data Quality use cases involving party data in Mexico.
Data Quality Blueprints 3.2 – USA	Contains sample jobs configured to illustrate best practice settings for common Data Quality use cases involving party data in the United States.
Data Quality Blueprints 3.2 – USA Regulatory	Contains sample jobs configured to illustrate best practice settings for common Data Quality use cases involving party data in the United States, with regulatory address certification enabled.
Data Quality Blueprints 3.2 – Match	Contains miscellaneous jobs configured to illustrate best practice settings for specific Data Quality matching use cases.
Data Quality Blueprints 3.2 – UDC	Contains sample jobs configured to illustrate parsing and standardizing of product data using Universal Data Cleanse (UDC).
Data Quality 3.2 – Custom Functions	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.
Data Quality 3.2 – Custom Functions	Contains custom functions that perform additional manipulation of data that is not part of the functionality of Data Quality transforms, but are common functions that assist with the cleansing and matching of party data.
Data Assessment Truth Data Queries 3.2	Contains a job used by SAP BusinessObjects Data Insight to perform truth data queries.

【上篇】C#3.0与LINQ新特性简介
【下篇】[翻译，MSDN]CStatic

作者: breakaway

该日志由 breakaway 于10年前发表在综合分类下，最后更新于 2013年12月13日.
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