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BizTalk Mapping Patterns & an Introduction to WABS Maps
SANDRO PEREIRA
Senior Software Developer at DevScope
Microsoft Integration MVP since 2011
 Writer of numerous articles for Portuguese eMagazine “Programar”
 Author “Sandro Pereira BizTalk Blog” http://sandroaspbiztalkblog.wordpress.com
 Member of “BizTalkAdminsblogging.com” and “BizTalk Brasil” community
 Member NetPonto community
 MSDN BizTalk Forums Moderator
 TechNet Wiki author (Wiki Ninja)
 TechNet Gallery, Code Gallery and CodePlex contributor
 Public speaker
 Technical Reviewer PACKT Publishing
 BizTalk Server 2010 Cookbook (April 2012)
 BizTalk Mapper Patterns
Common mapper problems and solutions
 Introduction to Windows Azure BizTalk Services Maps
Main differences between BizTalk Mapper Design and the
WABS Transform Designer
 Best Practices (if we have time)
Soon…
Free eBook
Author
DIRECT TRANSLATION PATTERN
How can we transform the incoming message if the target message have a different
semantic representation?
DATA TRANSLATION PATTERN
How can we transform the incoming message if the target message have a different data
formats?
CONTENT ENRICHER PATTERN
How can we transform the incoming message if the message originator does not have all
the required data items available expected by the target message?
AGGREGATOR PATTERN
How do we combine the results of individual, but related messages, so that they can be
processed as a whole to generate the target message?
CONTENT FILTER PATTERN (Data Cleaning Pattern)
How can we transform the incoming message if the target message requires less
information that the originator message?
SPLITTER PATTERN
How can we process an incoming message into a series of outgoing messages so that
they can be sent to multiple recipient and processed in different ways?
GROUPING PATTERN
How can we transform the incoming message if the target message requires that the body
of the message must be delivered grouped in a certain way?
SORTING PATTERN
How can we transform the incoming message if the target message requires that the body
of the message must be delivered in a certain order?
CONDITIONAL PATTERN
How can we transform the incoming message if the target message requires that the data
items available in message originator can be passed according on a set of conditions?
LOOPING PATTERN
How can we transform the incoming message if the target and/or originator message
have a complex and recursive structures? How can we apply a set of common procedures
to be apply many times?
CANONICAL DATA MODEL PATTERN
How do you process messages that are semantically equivalent, but arrive in a different
format? And How can you minimize dependencies when integrating applications that use
different data formats?
NAME-VALUE TRANSFORMATION PATTERN
How can we transform the incoming message if the target message requires a name–
value pair (NVP) structure? Or if the target message requires a hierarchical schema but the
originator message have a NVP structure?
Demos
BizTalk Mapper Patterns specifying best practices and some of the best ways to
address some of your needs within the context of message transformation.
BizTalk Mapper Design
• Functoids (Advanced, Conversion, Cumulative,
Database, Date and Time, Logical, Mathematical,
Scientific, String)
• The transformation are created using XSLT
Transform Designer
• Operations (String Operations, Loop Operations, List
Operations, Cumulative Operations, Date / Time
Operations, Miscellaneous Operations, Expressions)
• The transformation are created using Extensible
Application Markup Language (XAML)
BizTalk Mapper Design
• All functionalities at design time
• Debugging, Testing and validate
Transform Designer
• Limited operations
• Only support testing (and validation while
testing)
BizTalk Mapper Design
• Importing Custom XSLT external code
• Importing External .NET assembly
Transform Designer
• Importing Custom XSLT external code
Note:
• Custom Inline XSLT is not supported.
• You can only use CSharp Scripting inside WABS maps.
Demos
WABS Maps an introduction to the new Map Editor. How to migrate BizTalk
Maps to WABS Maps and how to apply some of the Mapper Patterns in this
new editor.
Hard to track relationships
No search capabilities
No cut/copy/paste or undo
Page 4Page 3Page 2
Grid Pages
Grid Preview
• Create unlimited
different pages
• Isolate different parts
of a map
• Work with different parts of
a map separately
• Must create connected
functoids on the same layer
• Find and work with a portion of
a large map

Page 1
ItemID
Qty
UnitPrice
Record
PO
Status
Order
PO Number
Date
Item No
Quantity
Order Status
Destination Schema
Date Total Price
(..)
X
Source Schema

•
•
•

•
•
•


•
•
•

•
•
•
•

•
•
•
•

•
•
•

•
•
•

•
•
•
•




Better UI for complex or large
transformations
• Reduce background “noise” using highlight
propagation
• Auto-scrolling and sibling coalescing help locate
nodes
Enhanced functionality
• Support for search
• Improved productivity with
cut/copy/paste/move/ undo
• Predictive match
• Improved support for documenting map and
readability



www.devscope.net

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BizTalk Mapping Patterns & An Introduction to WABS Maps

  • 1. brought to you by BizTalk Mapping Patterns & an Introduction to WABS Maps SANDRO PEREIRA
  • 2. Senior Software Developer at DevScope Microsoft Integration MVP since 2011  Writer of numerous articles for Portuguese eMagazine “Programar”  Author “Sandro Pereira BizTalk Blog” http://sandroaspbiztalkblog.wordpress.com  Member of “BizTalkAdminsblogging.com” and “BizTalk Brasil” community  Member NetPonto community  MSDN BizTalk Forums Moderator  TechNet Wiki author (Wiki Ninja)  TechNet Gallery, Code Gallery and CodePlex contributor  Public speaker  Technical Reviewer PACKT Publishing  BizTalk Server 2010 Cookbook (April 2012)
  • 3.  BizTalk Mapper Patterns Common mapper problems and solutions  Introduction to Windows Azure BizTalk Services Maps Main differences between BizTalk Mapper Design and the WABS Transform Designer  Best Practices (if we have time)
  • 5.
  • 6. DIRECT TRANSLATION PATTERN How can we transform the incoming message if the target message have a different semantic representation? DATA TRANSLATION PATTERN How can we transform the incoming message if the target message have a different data formats? CONTENT ENRICHER PATTERN How can we transform the incoming message if the message originator does not have all the required data items available expected by the target message?
  • 7. AGGREGATOR PATTERN How do we combine the results of individual, but related messages, so that they can be processed as a whole to generate the target message? CONTENT FILTER PATTERN (Data Cleaning Pattern) How can we transform the incoming message if the target message requires less information that the originator message? SPLITTER PATTERN How can we process an incoming message into a series of outgoing messages so that they can be sent to multiple recipient and processed in different ways?
  • 8. GROUPING PATTERN How can we transform the incoming message if the target message requires that the body of the message must be delivered grouped in a certain way? SORTING PATTERN How can we transform the incoming message if the target message requires that the body of the message must be delivered in a certain order? CONDITIONAL PATTERN How can we transform the incoming message if the target message requires that the data items available in message originator can be passed according on a set of conditions?
  • 9. LOOPING PATTERN How can we transform the incoming message if the target and/or originator message have a complex and recursive structures? How can we apply a set of common procedures to be apply many times? CANONICAL DATA MODEL PATTERN How do you process messages that are semantically equivalent, but arrive in a different format? And How can you minimize dependencies when integrating applications that use different data formats? NAME-VALUE TRANSFORMATION PATTERN How can we transform the incoming message if the target message requires a name– value pair (NVP) structure? Or if the target message requires a hierarchical schema but the originator message have a NVP structure?
  • 10. Demos BizTalk Mapper Patterns specifying best practices and some of the best ways to address some of your needs within the context of message transformation.
  • 11.
  • 12. BizTalk Mapper Design • Functoids (Advanced, Conversion, Cumulative, Database, Date and Time, Logical, Mathematical, Scientific, String) • The transformation are created using XSLT Transform Designer • Operations (String Operations, Loop Operations, List Operations, Cumulative Operations, Date / Time Operations, Miscellaneous Operations, Expressions) • The transformation are created using Extensible Application Markup Language (XAML)
  • 13. BizTalk Mapper Design • All functionalities at design time • Debugging, Testing and validate Transform Designer • Limited operations • Only support testing (and validation while testing)
  • 14. BizTalk Mapper Design • Importing Custom XSLT external code • Importing External .NET assembly Transform Designer • Importing Custom XSLT external code Note: • Custom Inline XSLT is not supported. • You can only use CSharp Scripting inside WABS maps.
  • 15. Demos WABS Maps an introduction to the new Map Editor. How to migrate BizTalk Maps to WABS Maps and how to apply some of the Mapper Patterns in this new editor.
  • 16.
  • 17. Hard to track relationships No search capabilities No cut/copy/paste or undo
  • 18. Page 4Page 3Page 2 Grid Pages Grid Preview • Create unlimited different pages • Isolate different parts of a map • Work with different parts of a map separately • Must create connected functoids on the same layer • Find and work with a portion of a large map  Page 1 ItemID Qty UnitPrice Record PO Status Order PO Number Date Item No Quantity Order Status Destination Schema Date Total Price (..) X Source Schema
  • 20.
  • 22.
  • 28. Better UI for complex or large transformations • Reduce background “noise” using highlight propagation • Auto-scrolling and sibling coalescing help locate nodes Enhanced functionality • Support for search • Improved productivity with cut/copy/paste/move/ undo • Predictive match • Improved support for documenting map and readability