Salesforce Solutions from MuleSoft


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MuleSoft makes connecting anything easy, and connecting to Salesforce is not an exception. From out-of-the-box tooling to packaged integration patterns, in this blog post you will learn the options you have to get started on your Salesforce integration.

dataloader.io

We will start with dataloader.io, an easy-to-use, 100% web-based application that allows its users to easily export,

Introducing Pub/Sub Pattern for Anypoint Templates

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Anypoint Templates showcase best practices around most common data integration patterns between two systems, for example, Salesforce and Workday, Salesforce and MS Dynamics CRM, Salesforce and NetSuite, Workday and ServiceNow and so on. With our new series of Pub/Sub templates, implemented using a publish/subscribe architecture, we are providing a more modularized approach to integration by allowing you to decouple source and destination systems and easily incorporate multiple systems without having to modify the existing integration application.

Demo: Anypoint Exchange

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In our latest installment in the MuleSoft webinar series, we’ll introduce you to Anypoint Exchange! We’ll walk you through a demo showcasing both the public and private exchange. In the public exchange, you can access hundreds of templates, examples, and connectors made available to you by MuleSoft. In the private exchange, you can expose your own internal assets so that your organization can get the most benefit from each asset or project that you create.

Anypoint Exchange: Discover and Add Integration Best Practices

February 26 2015

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oprahoprahAnypoint Exchange is home to integration best practices, hosting the complete listing of MuleSoft’s connectors, templates and examples. With our latest release, we are thrilled to give customers the ability to curate their own exchange.

Preloaded with MuleSoft’s assets – connectors, templates and examples – to help you get started, customers can extend the exchange by adding customized information that will increase adoption of internal best practices and encourage collaboration across the organization. 

Anatomy of an Anypoint Template

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Templates are simple solutions to start building your own integration applications that help to accelerate ‘time to value’ for your company. We focused on creating templates in a particular way to meet a high quality bar and to help you maintain that bar when you choose to extend our templates or build your own. In this post, I wanted to run you through our principles, structure, and provide some advice when using one of our templates.

Intro to Data Integration Patterns – Aggregation

In this post I want to close the loop on introducing you to the last of the five initial patterns that we are basing our Anypoint Templates on. I’m sure we’ll continue creating templates and we’re going to continue discovering new data integration patterns. If you are just entering at this post, I would recommend that you look through the previous four posts to understand the other patterns.

Intro to Data Integration Patterns – Correlation

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So far, in this series, we have covered Migration, Broadcast, Bi-Directional Sync, and today we are going to cover a new integration pattern: Correlation. In an effort to avoid repeating myself, for those who are reading through the whole series, I will omit a lot of relevant information which is shared between the patterns that I have previously covered. I urge you to read at least the previous post about bi-directional sync as correlation can be viewed as a variation of bi-directional sync.

Intro to Data Integration Patterns – Bi-Directional Sync

In this post I will continue talking about the various integration patterns that we used as the basis for our Anypoint Templates. The next pattern to discuss is bi-directional sync. Since bi-directional sync can be also accomplished as two, 1:1 broadcast applications combined and pointed in opposite directions, I would recommend reading my last post on the broadcast pattern before digging into this one since I will omit a lot of the same content.

Intro to Data Integration Patterns – Broadcast

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In my post yesterday, we did a brief introduction to the migration pattern. Today we are going to do a similar overview of the broadcast pattern which is a kinetic version of the migration pattern.

Pattern 2: Broadcast

What is it?

Broadcast can also be called “one way sync from one to many”, and it is the act of moving data from a single source system to many destination systems in an ongoing,

Intro to Data Integration Patterns – Migration

Hi all, in this post I wanted to introduce you to how we are thinking about integration patterns at MuleSoft. Patterns are the most logical sequences of steps to solving a generic problem. Like a hiking trail, patterns are discovered and established based on use. Patterns always come in degrees of perfection with much room to optimize or adopt based on the needs to solve business needs. An integration application is comprised of a pattern and business use case.