Have you heard something about Apache Beam ? No? Well, I’m not surprised - this project is quite new in data processing world. Actually, I was in the same boat with you until recently, when I started to work closely with it. In short, Apache Beam is unified programming model that provides an easy way to implement batch and streaming data processing jobs and run them on any execution engine using a set of different IOs. Sounds promising but not very clear, right? Ok, let’s try to look more closely on what actually it does mean. Starting with this, I’m going to launch a series of posts where I’ll show some examples and highlight several use cases of data processing jobs using Apache Beam. Our topic for today is batch processing. Let’s take the following example - you work on analytics and you want to analyze how many cars of each brand were sold for the whole period of time of observations. It means that our data set is bounded (finite amount of data) and it won’t be updated. So, i