Jim Bean

Date:       Thursday November 18, 2010                  Time: 1:00 PM - 4:00 PM

Jim Bean: Transactinal Data vs. Hypermedia for "Data in Motion"

Service Oriented Architectures (SOA) are being used extensively to share and provide data and content.  Jim Bean, noted author of multiple books on SOA, XML, Global Standards and Database Design (e.g., “SOA and Web Services Interface Design: Principles, Techniques, and Standards”), will discuss how Data in Motion transmitted using SOA/Web Services differs when dealing with transactional data versus Hypermedia or unstructured content.  
 
There are fundamental differences between strongly typed data in motion as a transactional message exchange and that of a more ReSTful servicing interaction. Where a transactional message is primarily a collection of data elements that are defined by an XML Schema interface definition, and a ReSTful interaction is more resource or content driven (roughly analogous to the Web page or document content identified by a URL or URI). Both have a place in Service Oriented Architecture, with advantages and disadvantages to each.
 
The most important considerations are to determine:
 
 - What is the context in which the data will manipulated?
 - Is the Data Strongly Typed (discretely defined data elements and
   metadata) or a Resource (Web pages, documents, video, audio, email, images, etc.)?
 - What is the Role of Data Governance and the Data Architect/Modeler in “data in motion”?
 - What are operations that will be performed on the data in motion?
 - Will the data be subject to change and if so, at what level of granularity?
 - What roles do XML and XML Schemas play?
 - What type of metadata will be important to manage?
 
This session will help you to answer these questions, and to understand how and when to exploit transactional service interactions and ReSTful interactions.
 
Recommended audience:
   Enterprise Architects
   Data Architects
   SOA Architects
   Application Development managers and developers
   Web developers
   Meta Data Architects
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