Creating a customer 360 with MuleSoft and Azure Data Lake Store

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As companies embrace omnichannel strategies, achieving a 360-degree view of their customers has become increasingly challenging. Customer 360 is a continuous discipline around delivering a reliable view of their customers and relevant attributes so that any employee or system has access to the customer information it needs to manage the customer journey. The discipline is iterative in nature and involves 5 steps as illustrated below. In this article, we will provide a detailed guide regarding one strategy you can use to capture customer information (step 2,

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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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 – Data Integrity checks in batch processing

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We recently introduced our  HowTo blog series, which is designed to present simple use-case tutorials to help you as you evaluate Mulesoft’s Anypoint Platform. This blog post is a follow up to our last blog “How to ETL” using Mule. In that post, we demonstrated how Anypoint Platform could be leveraged to read a large number of messages, transform/enrich these messages, and then load them into a target system/application.

HowTo – Extract, Transform, Load (ETL) and Change Data Capture

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We recently introduced our HowTo blog series, which is designed to present simple use-case tutorials to help you as you evaluate Anypoint Platform. The goal of this blog post is to give you a short introduction on how to implement a simple ETL (Extract, Transform, and Load) scenario using Mulesoft’s batch processing module.

Anypoint Platform brings together leading application integration technology with powerful data integration capabilities for implementing such a use case.

What you need to know about containerization and “the internet of physical things”

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In this blog post, I would like to highlight the similarities between the physical logistics of moving physical cargo containers and the digital logistics of moving data. In essence, I want to translate the shipping jargon into everyday language to allow you to gain an insight into the world of containerization. Equally for the Container Terminal Managers and their IT teams, this blog post takes optimization from the yard to the server room; I want to highlight that integration of systems is critical and how having the right approach can enable your business to flourish.

Demo: Introducing DataWeave, MuleSoft’s Next Generation Data Integration Solution

September 15 2015

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In order to connect assets to audiences with speed and scale, you need a powerful data transformation tool. That tool should be able to integrate in real time using APIs, do batch tasks such as data ingestion or synchronization and handle a variety of data sources – from JSON to EDI to XML.

Our solution is called DataWeave. It’s a simple, powerful way to query and transform all types of data.

Mule 3.7.0 and Anypoint Studio June 2015 RC: Introducing DataWeave

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Building on the success of CONNECT 2015 in San Francisco, we’re happy to announce the final release candidate for Mule 3.7 and Anypoint Studio June 2015.  Planned GA is now less than a month away!

Highlights of this release:

  • DataWeave: a new language and module for querying and transforming data
  • Metadata enabled payloads: attach metadata to payloads for context-aware connectivity
  • Non-blocking HTTP proxies: Scale APIs with higher concurrency
  • Java 8 support: Mule 3.7 is compliant with both Java 7 and Java 8

Introducing DataWeave

As organizations struggle to deal with the proliferation of applications and APIs inside their organization,

Intro: Salesforce to Database Anypoint Templates

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I’d like to announce and introduce you to our second set of Anypoint TemplatesSalesforce to Database. This set leverages the newly improved Database connector which allows you to connect with almost any JDBC relational database, consistently using the same interface for every case. Our first set of templates, Salesforce Org to Org integration, and is a good base for any “Salesforce to X”,

Anypoint Platform May 2014 now available!

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We’re very excited to announce the May 2014 release of Anypoint Platform.  This new release, which includes the GA release of Mule 3.5.0, provides a faster, easier way to deliver data to business applications, whether they are event-driven, real-time data or batch data. The Anypoint Platform May 2014 release also includes templates to solve the most common Salesforce integration challenges and new security certifications for CloudHub,