One of the great uses of Anypoint Platform is automating business processes that need to interact with multiple systems and deliver useful functions. Many times these business processes are ones that started out requiring humans and as the business has grown it has become clear that the human process will no longer scale with the demand.
News Corporation, one of the largest media companies in the world, was facing an existential challenge. It owns some of the most famous newspaper titles in the world; in Australia it has 150 titles and touches 75% of the population over 14. Readers were changing how they consumed their content; mobile web page views rose 6 times in two years and their mastheads were facing double-digit declines year-on-year.
One of the most challenging aspects of modern medicine is managing the care of the chronically ill. In 2010, according to the US Centers for Disease Control, 86 percent of all healthcare spending in the US went towards conditions like heart disease, diabetes, arthritis, and obesity; cancer care alone cost $157 billion. The costs come when these conditions manifest themselves in crises which require expensive hospital stays and costly medication. It would be cheaper and easier to manage these conditions on an ongoing basis, so medical professionals could detect and solve problems before they became serious events. This could pre-empt a doctor’s visit or a hospital stay, saving time and money for the patient and the insurance company.
For a while now there have been maven archetypes for creating mule apps and domains. Such archetypes make getting started with development easier by automatically generating the basic core structure and files of mule projects (think configuration files, test classes, pom). This is especially interesting since the introduction in 3.5.0 of shared resources through mule domains which could make your app depend on another external project (a domain) and using Maven to manage dependencies makes perfect sense. We will see how to use these archetypes to create a domain and an application that uses it.
In this final part of our introduction to DataWeave, we now present you with some example transformations. We will use everything we have learned till now to realize the transformations. Wherever we introduce new concepts we will highlight them in a subsequent set of notes. So, without further delay, let’s jump in!
Google’s Address API responds with a JSON object which contains an array of addresses followed by their distances from our current location. We want to transform this into an array of the top 5 closest addresses.
If you’re a Mule user, there’s a good chance that you’re using Maven to automate building and testing of your applications. We’re happy to announce Mule Maven Plugin 2.0, to help you automate your deployment and integration tests. This plugin will help you no matter where do you want it to run: CloudHub, a local Standalone server, Anypoint Runtime Manager, a local cluster or using the Mule Agent.
The August 2015 Update 2 of Anypoint Platform features v1.2 of Anypoint Runtime Manager which enables users to monitor and analyze applications running in the cloud or on-premises, in a sandbox, staging or production environment with ease using popular monitoring tools like Splunk and ELK. This gives the users a unified view of all their applications, no matter where they are running.
Monitoring/analytics for On-Prem users
We are happy to announce the September ’15 release of the Salesforce Analytics Cloud Connector v2.0.0. In this blog post, I will be covering some of the important features of the connector as well as walking you through the technicalities of ingesting data into Salesforce Wave Analytics Cloud by leveraging features within Anypoint Platform.
Benefits of using the Salesforce Analytics Cloud Connector
In the previous post in this four-part series and webinar about our powerful yet simple new transformation engine, DataWeave, we introduced you to Selector expressions so that you can navigate to and retrieve particular parts of the incoming message. We also showed you how to apply iterative and conditional logic as is required in almost all transformation scenarios.
We now present to you a use case which involves transformations from Java Lists to XML and from XML to JSON.