When performing my analysis and graphing for my previous post I ran into a problem of identifying and displaying missing time series data. From a series of data that occurs daily, I wanted to identify if there were missing days, and to graph them so that they can easily be seen.

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My SiriusXM tracker for ‘The Heat’ radio station has now been running since the summer of 2016 and has collected a good amount of data. It seemed like a great opportunity to make use of this data for getting some insight into what songs/artists/albums have been popular throughout the months, and also get some Spark practice under my belt.

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This example will go over setting up a simple Scala project in which we will access a Mongo Database and perform read/write operations. In order to access MongoDB from spark we will need the MongoDB Connector for Spark.

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After having worked with GWT several years ago and really liking the framework, I recently found myself trying out Vaadin for a hobby application I want to develop. Vaadin and GWT have their similarities and differences. One of the differences is that Vaadin runs its application logic on the server side, unlike GWT which runs on the client side. This calls for some little extra setup required in the IDE in order to run the application and be able to instantly see UI changes in your browser while developing, without having to restart the application server every time. ... Read More

After hosting a few of my apps on Heroku I quickly became a fan of the platform, and saw why it gets such high praise. The ease of deploying an application straight through Git is amazing. Not having to worry about managing servers, or managing the environment is perfect–it allows a developer to go straight into developing and deploying their apps with minimal hassle.

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