Why DataWeave Matters

Data transformation

Data transformation is a core requirement for most integrations. Anypoint Platform provides multiple types of transformers, including XSLT, DataWeave and DataMapper.

DataWeave, our new data query and transformation language, offers significant performance advantages over Anypoint DataMapper, our earlier data mapping and transformation solution. The below benchmark shows transformations performance using DataWeave and Anypoint DataMapper with payload size of 100KB (1000 records) with simple complexity.

Don’t let your DataMapper streaming be out of control

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As Nicolas pointed out in “7 things you didn’t know about DataMapper“, it’s not a trivial task to map a big file to some other data structure without eating up a lot of memory.

Enabling the “streaming” function in DataMapper makes this a lot easier (and efficient!).

But just doing this doesn’t let you decide how many records at a time you want to get passed on to the next processor: in the worst-case-scenario,

Mule 3.4 Blog Post Line Up

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It has now been nearly a month since Mule 3.4 was released and coming back from the 8 city tour Spring 2013 Mule summit, I can truly say there is tremendous excitement within the Mule community around the great features that this release offers.

In the coming weeks, key members of the MuleSoft team who were behind this release will be blogging about its various features and capabilities. Here is what this blog post line-up looks like:

Announcing Mule 3.4 – Next Generation Integration Platform for the New Enterprise

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I am excited to announce the general availability of the Mule 3.4 release. Mule 3.4 introduces new capabilities across Mule ESB, CloudHub, Mule Studio, Anypoint DataMapper, Anypoint Connectors, and the Anypoint DevKit.

The Next Generation Integration Platform

There are three main areas around which Mule 3.4 introduces innovations that we believe greatly change the traditional ways in which integration is approached.

One to map them all: Google Cloud Connectors Suite Part 3/3

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Hello There! If you remember a couple of months back we started a series regarding the Google Cloud Connectors Suite. In the first post we introduced the suite, took a look at how to install the connectors in Studio and built a very simple yet cool iApp that takes contacts from a Google Spreadsheet and turns them into Salesforce contacts, Google Contacts,

Introducing Mule Studio 3.4 Early Preview

December 11 2012

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We are excited to announce the availability of the first early preview release of Mule Studio 3.4. This release is aligned with the release of the Mule ESB CE Milestone 2 to the community.

We are making this release of Studio available to the Mule community to get valuable feedback on our latest and greatest features. This blog post contains text and video introductions to the freshly-baked features included in this release.

Mule School: DataMapper Testing Mappings and POJO inputs

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One aspect of Mule DataMapper that makes it a grate data integration tool is its ability to do mappings involving complex and different data structures (XML, Json, POJOs, CSV, Excel files and more). One feature that is really attractive is the possibility to test your mappings without the need to launch your Mule application, so that you can provide sample input data and preview what the result of the DataMapper will be.

Integrating Salesforce in 30 minutes – all demo, no slides

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With Mule Studio DataMapper, Cloud Connectors, new management functions and so much more, developing with Mule was made significantly simpler in the latest release.  Join Albin Kjellin, MuleSoft Enterprise Architect, for a walkthrough of the new Mule in action.

This is a live action webinar: all demos, no slides.