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.