Weave is a new data transformation framework created by MuleSoft to expand their data integration capabilities beyond what was possible with DataMapper. It uses a JSON-like language called Weave that is optimized for data transformation and integration tasks. Weave is fully integrated with Anypoint Platform and provides better performance than previous approaches. It is useful for customers with requirements around complex mappings, streaming data, or handling large data volumes.

1. 1
Confidentiality and Roadmap Disclaimer
DataweaveIntroduction
by Venu

2. 2
Agenda
• What did we create Weave?
• What is Weave?
• When should it be used?
• How does it work?
• How do you get started with it?

3. 3
Why did we create Weave?
• Expands our data integration capabilities
– BEFORE: DataMapper was great for mapping and
manipulating data graphically, customers wanted more.
• Ties data integration to our powerful core runtime
– BEFORE: Key components of DataMapper were delivered
by a third party, limiting our ability to customize/extend
• Satisfies evolving customer requirements
– Complexity and disparate data management is a reality for
all customers today

4. 4
Weave
Weave is a full-featured and fully native
framework for querying and
transforming data on Anypoint Platform.
Powered by the innovative Weave data
transformation language, and fully
integrated with the graphical interface
of Anypoint Studio and DataSense,
Weave makes even the most complex
data integration simple
• Make even the most complex transformations simple
– Weave is JSON-like language that's built just for data transformation use cases
• More elegant, and re-usable than custom code
– Data transformations built using Weave can be leveraged across applications
• Powered by the Mule core
– Weave provides 5x performance vs previous approaches

5. 5
Weave is valuable to customers with these needs:
• Highly performant mappings and transformations
• Complex mappings involving:
- Joining data sets from multiple sources
- Partitioning one data stream into multiple data sets
- Filtering and grouping data based on business logic
• Inbound and outbound streaming of data
• Mapping large volumes of data (larger than memory)
When should the Weave be used?
Weave will be available with the release of Mule 3.7 on June 29, 2015

6. 6
How does it work?Mockup only, UI still under development

7. 7
How do I get started with it?
• Download Studio 5.2 and Mule 3.7
– Release Candidate: June 2
– GA: June 29
• Requires no additional entitlements
• Enterprise-only (similar to DataMapper)
NOTE: DataMapper will no longer come out of
the box with Studio 5.2, must be installed via a
plugin.

8. 8 l All contents Copyright © 2014, MuleSoft Inc.
Thank you