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.
When it comes to getting data in and out of Salesforce using Anypoint Platform, there are a number of different options. Typically, using just one of them won’t give you everything you need and you might have to combine a number of them to to achieve a complete solution. In this post, we’ll summarize 4 options – Realtime, Custom, Bulk, and Data Virtualization – when to use which, and things to keep in mind for each.
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.
Companies are looking to connect to their customers while leveraging customer data across the business to make more informed decisions. As organizations drive digital transformation initiatives to cater to today’s online consumer, there is a massive need for businesses to connect to their customer’s in an holistic way.
SaaS applications like Salesforce have proven to be highly disruptive for many .NET architectures. In this multi-part blog series, we’ll demonstrate step-by-step how .NET-centric organizations can use existing assets (e.g. legacy .NET applications, SAP) to maximize the value of their Salesforce investment without disrupting underlying code.
In Part 1 of this blog post series we will explore a scenario that has an Auto Insurance company building quotes that allow customers to evaluate their premiums.