HowTo – Invoke Java/Groovy logic in DataWeave

December 20 2017

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When building DataWeave transformations for your Mule application, you will run into situations in which you will need to invoke external logic that may be encapsulated in a Java POJO, Groovy, Python, Ruby script, or really any lookup that uses a CSV file or database table as part of the transformation.  

HowTo – Perform date arithmetic with DataWeave

December 6 2017

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dataweave howto

When integration involves different applications, systems, or databases, we face a common challenge: how do we bridge between data formats and how can we provide interoperability for fields that store dates and date/time values?  

HowTo – Implement logic handling in DataWeave

November 27 2017

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Logic handling using DataWeave is essential for simple mediums and highly complex transformations, in which the mapping requirements necessitate generating outputs based on values provided in the input payload.  

HowTo – A quick introduction to using Anypoint MQ APIs

anypoint mq

With as many systems of record available in the cloud– from  SaaS applications like Salesforce to Netsuite – the need for a cloud-based enterprise messaging solution has now become necessary to support high availability, scalability, and reliability patterns in an Integration Platform as a Service (iPaaS) solution, such as MuleSoft’s CloudHub.

HowTo – Handle HL7 Messages with Anypoint Platform

hl7 mulesoft connector

At MuleSoft, we work with a number of hospitals, healthcare systems, insurers, and other healthcare organizations. These organizations use different computer systems–from billing and Electronic Health Records (EHRs) to laboratory and pharmaceutical management systems. A common and critical use case that we come across is how we can enable these organizations and their partners to seamlessly exchange data with one another across different systems. 
 

How to Apply DataWeave to the Real-world: Looping (Part 3)

October 31 2017

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So far in this 3-part series, we have looked at variables (Part 1) and functions (Part 2) in order to leverage them to our advantage. In this third and final part of the real-world DataWeave series, we will look at another common problem area, that of performing nested loops in data structures.

HowTo – Connect Blockchains with APIs and Anypoint Platform

October 26 2017

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Blockchains are slowly creeping their way into the enterprise and gaining acceptance. As Harvard researchers reveal, “No matter what the context, there’s a strong possibility that blockchain will affect your business. The very big question is when.” But what are Blockchains?

How to Apply DataWeave to the Real-world: Functions (Part 2)

October 25 2017

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In the first part of this series we tackled the issue of defining and also using variables within DataWeave as opposed to using the legacy set “Variable” module. Today, I need to raise the topic of functions in DataWeave as a key thought when working with MuleSoft has to be “can I reuse this?”

How to Apply DataWeave to the Real-world: Variables (Part 1)

October 16 2017

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Over the last few years at MuleSoft, I have had the opportunity to work with many different customers covering a wide range of use cases, inevitably requiring data transformations of one sort or another. I have observed some recurring patterns and “gotchas” when DataWeave is used in the real-world and I will address these in this 3-part series.

HowTo – Build a Facebook Messenger Bot Using Anypoint Platform

chatbot

Everyone is very excited about chatbots as the future of messaging, customer service, information delivery, etc. Facebook touts Messenger bots as AI (e.g. Jarvis) and the press gets excited about how they will change the world. But really, bots are essentially an ESB that listens for keywords and routes responses back to the user. This project will show you how to build one using Anypoint Platform.

This example project provides a framework to build a Facebook Messenger Bot that can leverage APIs built on Anypoint Platform.