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IntroductionIf you are building any kind of application for a consumer based product, it is common to have large amounts of application data being generated about your users. Running reports is a traditional use of this data, but what if you could make this data actionable? What if you could adapt the user experience by aggregating and testing this data against rules that could dictate actions or special messaging?In this post I am going to show you a way that could be used to make your application data "actionable". We are going to review a sample program written in Go that leverages MongoDB’s aggregation pipeline to execute rules that aggregate and test data. The rule the program defines and executes determines what messaging we want to show the user based on their current set of financial transactions in the system.The DataWe have two collections of data we will be using which are being hosted in a public MongoLab database. The first collection contains credit card transactions for users. This data represent application generated data:
We have taught Go to thousands of developers all around the world since 2014. There is no other company that has been doing it longer and our material has proven to help jump start developers 6 to 12 months ahead of their knowledge of Go. We know what knowledge developers need in order to be productive and efficient when writing software in Go.
Our classes are perfect for both experienced and beginning engineers. We start every class from the beginning and get very detailed about the internals, mechanics, specification, guidelines, best practices and design philosophies. We cover a lot about "if performance matters" with a focus on mechanical sympathy, data oriented design, decoupling and writing production software.
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