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Writing Mashups in EMML
 
Creating, Testing, Saving and Publishing Mashups
Creating a Mashup Script with EMML
Declaring Mashup and Macro Variables and Parameters
Declaring Namespaces
Declaring Data Sources
Configuring Datasource Drivers
Invoking Component Mashups and Mashables
Issuing SQL Statements Directly to a Datasource
Transforming Intermediate Results
Combining Component Mashable or Mashup Results
Constructing the Mashup Result, Inputs or Intermediate Variables
Controlling Mashup Processing Flow
Handling or Throwing Exceptions
Supporting Debugging
Adding Metadata to Mashups
Mashups allow you to easily combine or transform content from one or more mashable information sources or other mashups to produce information for situational applications, ad hoc applications that you can quickly tailor to fit your current needs, apps or dashboards. You use mashup scripts to easily define how different information sources, mashables, large datasets and other mashups, should be combined and transformed to produce just the information you need.
You can also use mashups:
*As components within other mashups, combining and building on your work.
*To provide pre- or post-processing for mashable or other information sources .
*To virtualize mashables, providing a simpler interface for business users to work with.
*As generic templates that can be applied to many different mashables for common patterns.
*To retrieve, query and analyze large datasets using the Real-Time Analytics Query Language.
For some simple examples of mashups and information on the Mashup Samples project, see Mashup Samples.
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