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Presenter
Richard Hogenberg, Lead global SAS® CoE, Capgemini
Richard Hogenberg is the lead of the global SAS® CoE at Capgemini
where he has been since 1996. Richard is a SAS® solution architect and
technical specialist working mainly in Fraud and Risk projects.
Richard holds 3 SAS® certifications:
- Certified Base Programmer for SAS® 9
- Certified Advanced Programmer for SAS® 9
- Certified Data Integration Developer for SAS® 9
SAS® Data Integration Documentation Generator:
a Capgemini Solution to Accelerate and Keeping it All "in Sync"
SAS® Data Integration Documentation Generator:
a Capgemini Solution to Accelerate and Keeping it All "in Sync"
INTRODUCTION
• Everyone has probably encountered the situation that the documentation
and the corresponding source code were out of sync.
• Reliance on the source code itself in stead of documentation.
• Our solution contains the documentation within the SAS® Data Integration
Studio jobs. Therefore the complete documentation is available within the
SAS® Metadata.
SAS® Data Integration Documentation Generator:
a Capgemini Solution to Accelerate and Keeping it All "in Sync"
What is needed
• Clear standards for SAS® Data Integration Job development in order to
ensure that all developers work the same way and all the transformations
are clearly documented.
• A program to extract the information out of the SAS® Metadata in order to
generate a ‘paper’ version of the documentation.
SAS® Data Integration Documentation Generator:
a Capgemini Solution to Accelerate and Keeping it All "in Sync"
Standards for SAS® Data Integration Job development
• Job level
• Naming standards for the SAS® Data Integration Jobs
• Sticky notes
• Transformation level
• Naming standards for the transformations
• Defining which property fields can contain information that can be extracted
from the SAS® Metadata and therefore should be filled
SAS® Data Integration Documentation Generator:
a Capgemini Solution to Accelerate and Keeping it All "in Sync"
Job level
Usage of sticky notes
SAS® Data Integration Documentation Generator:
a Capgemini Solution to Accelerate and Keeping it All "in Sync"
Transformation level
• Changing the name from the default transformation name to a
meaningful name will greatly enhance the understanding of a Data
Integration job as people can easily see what is supposed to happen in
each of the transformations
• The description of a transformation can only contain a limited amount of
characters. We use the notes tab of the transformation as the place to
put a full description of the technical / functional details of the
transformation.
• User written code ensure that it is properly commented by itself and use
the notes section of the transformation for more details.
• Adding comments to an expression that is part of a transformation.
SAS® Data Integration Documentation Generator:
a Capgemini Solution to Accelerate and Keeping it All "in Sync"
Challenges encountered while developing the program that extracts the
documentation from the SAS® Metadata
• Understanding the SAS® Metadata structure
• Extracting the information from the SAS® Metadata structure
SAS® Data Integration Documentation Generator:
a Capgemini Solution to Accelerate and Keeping it All "in Sync"
Understanding the SAS® Metadata structure
1) SAS® Metadata Browser
SAS® Data Integration Documentation Generator:
a Capgemini Solution to Accelerate and Keeping it All "in Sync"
Understanding the SAS® Metadata structure (continued)
SAS® Data Integration Documentation Generator:
a Capgemini Solution to Accelerate and Keeping it All "in Sync"
Understanding the SAS® Metadata structure (continued)
2) SAS® Metadata Packages
Archive a SAS Data Integration job by creating an ‘archive as a SAS package’.
Then unzip the package. Within the unzipped package there are multiple
XML files. One of these XML files contains the complete structure of the
Data Integration job.
SAS® Data Integration Documentation Generator:
a Capgemini Solution to Accelerate and Keeping it All "in Sync"
Extracting the information from the SAS® Metadata structure
SAS® function used:
• metadata_getnobj
• metadata_getnasn
• metadata_getnatr
• metadata_getattr
SAS® Data Integration Documentation Generator:
a Capgemini Solution to Accelerate and Keeping it All "in Sync"
Extracting the information from the SAS® Metadata structure (continued)
• Below is an example how to obtain the uri’s of the Data Integration jobs that
contain DG_:
i=0;
do until(rc1<0);
i+1;
rc1=metadata_getnobj("omsobj:Job?@Name contains 'DG_'",i,uri);
if rc1>0 then do;
…
end;
end;
SAS® Data Integration Documentation Generator:
a Capgemini Solution to Accelerate and Keeping it All "in Sync"
Extracting the information from the SAS® Metadata structure (continued)
• The code below shows how to analyze the metadata tree over all the
transformations within a job:
i=0;
do until(rc1<0);
i+1;
rc1=metadata_getnasn("&JobID.","TransformationSources",i,nuri);
if rc1>0 then do;
…
end;
end;
SAS® Data Integration Documentation Generator:
a Capgemini Solution to Accelerate and Keeping it All "in Sync"
The job itself
SAS® Data Integration Documentation Generator:
a Capgemini Solution to Accelerate and Keeping it All "in Sync"
What does the result look like
SAS® Data Integration Documentation Generator:
a Capgemini Solution to Accelerate and Keeping it All "in Sync"
Questions?
Don't Forget to Provide Feedback!
1. Go to the Agenda icon in the conference app.
2. Find this session title and select it.
3. On the sessions page, scroll down to Surveys and
select the name of the survey.
4. Complete the survey and click Finish.

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SAS Data Integration: a Capgemini Solution to Accelerate and Keeping it All 'in Sync'?

  • 1.
  • 2. Presenter Richard Hogenberg, Lead global SAS® CoE, Capgemini Richard Hogenberg is the lead of the global SAS® CoE at Capgemini where he has been since 1996. Richard is a SAS® solution architect and technical specialist working mainly in Fraud and Risk projects. Richard holds 3 SAS® certifications: - Certified Base Programmer for SAS® 9 - Certified Advanced Programmer for SAS® 9 - Certified Data Integration Developer for SAS® 9
  • 3. SAS® Data Integration Documentation Generator: a Capgemini Solution to Accelerate and Keeping it All "in Sync"
  • 4. SAS® Data Integration Documentation Generator: a Capgemini Solution to Accelerate and Keeping it All "in Sync" INTRODUCTION • Everyone has probably encountered the situation that the documentation and the corresponding source code were out of sync. • Reliance on the source code itself in stead of documentation. • Our solution contains the documentation within the SAS® Data Integration Studio jobs. Therefore the complete documentation is available within the SAS® Metadata.
  • 5. SAS® Data Integration Documentation Generator: a Capgemini Solution to Accelerate and Keeping it All "in Sync" What is needed • Clear standards for SAS® Data Integration Job development in order to ensure that all developers work the same way and all the transformations are clearly documented. • A program to extract the information out of the SAS® Metadata in order to generate a ‘paper’ version of the documentation.
  • 6. SAS® Data Integration Documentation Generator: a Capgemini Solution to Accelerate and Keeping it All "in Sync" Standards for SAS® Data Integration Job development • Job level • Naming standards for the SAS® Data Integration Jobs • Sticky notes • Transformation level • Naming standards for the transformations • Defining which property fields can contain information that can be extracted from the SAS® Metadata and therefore should be filled
  • 7. SAS® Data Integration Documentation Generator: a Capgemini Solution to Accelerate and Keeping it All "in Sync" Job level Usage of sticky notes
  • 8. SAS® Data Integration Documentation Generator: a Capgemini Solution to Accelerate and Keeping it All "in Sync" Transformation level • Changing the name from the default transformation name to a meaningful name will greatly enhance the understanding of a Data Integration job as people can easily see what is supposed to happen in each of the transformations • The description of a transformation can only contain a limited amount of characters. We use the notes tab of the transformation as the place to put a full description of the technical / functional details of the transformation. • User written code ensure that it is properly commented by itself and use the notes section of the transformation for more details. • Adding comments to an expression that is part of a transformation.
  • 9. SAS® Data Integration Documentation Generator: a Capgemini Solution to Accelerate and Keeping it All "in Sync" Challenges encountered while developing the program that extracts the documentation from the SAS® Metadata • Understanding the SAS® Metadata structure • Extracting the information from the SAS® Metadata structure
  • 10. SAS® Data Integration Documentation Generator: a Capgemini Solution to Accelerate and Keeping it All "in Sync" Understanding the SAS® Metadata structure 1) SAS® Metadata Browser
  • 11. SAS® Data Integration Documentation Generator: a Capgemini Solution to Accelerate and Keeping it All "in Sync" Understanding the SAS® Metadata structure (continued)
  • 12. SAS® Data Integration Documentation Generator: a Capgemini Solution to Accelerate and Keeping it All "in Sync" Understanding the SAS® Metadata structure (continued) 2) SAS® Metadata Packages Archive a SAS Data Integration job by creating an ‘archive as a SAS package’. Then unzip the package. Within the unzipped package there are multiple XML files. One of these XML files contains the complete structure of the Data Integration job.
  • 13. SAS® Data Integration Documentation Generator: a Capgemini Solution to Accelerate and Keeping it All "in Sync" Extracting the information from the SAS® Metadata structure SAS® function used: • metadata_getnobj • metadata_getnasn • metadata_getnatr • metadata_getattr
  • 14. SAS® Data Integration Documentation Generator: a Capgemini Solution to Accelerate and Keeping it All "in Sync" Extracting the information from the SAS® Metadata structure (continued) • Below is an example how to obtain the uri’s of the Data Integration jobs that contain DG_: i=0; do until(rc1<0); i+1; rc1=metadata_getnobj("omsobj:Job?@Name contains 'DG_'",i,uri); if rc1>0 then do; … end; end;
  • 15. SAS® Data Integration Documentation Generator: a Capgemini Solution to Accelerate and Keeping it All "in Sync" Extracting the information from the SAS® Metadata structure (continued) • The code below shows how to analyze the metadata tree over all the transformations within a job: i=0; do until(rc1<0); i+1; rc1=metadata_getnasn("&JobID.","TransformationSources",i,nuri); if rc1>0 then do; … end; end;
  • 16. SAS® Data Integration Documentation Generator: a Capgemini Solution to Accelerate and Keeping it All "in Sync" The job itself
  • 17. SAS® Data Integration Documentation Generator: a Capgemini Solution to Accelerate and Keeping it All "in Sync" What does the result look like
  • 18. SAS® Data Integration Documentation Generator: a Capgemini Solution to Accelerate and Keeping it All "in Sync" Questions?
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