Data visualisation is becoming an increasingly important subject. As the complexity an volumes of data increase, it is getting harder and harder to make sense of bare arrays of numbers without relevant visualisation models. Let me give you a good example. Right now I work in China. Few months ago there appeared a new startup: bycicle sharing service that used GPS sensors on each bike to track it in the city. Now let's imagine, you need analyse how evenly your bikes are distributed around the city and how many of them are in motion right now.

Moving your project to a cloud might be a difficult task especially since there are so many different cloud services out there. AWS is the most popular one and Azure is a very close competitor. In this article I will show you how to start using Azure, namely its NoSQL database service - DocDB. NOTE: Azure is a great platform, however it has significantly less tutorials and examples available online (compared to AWS). Before we start to write the code we will need to prepare the dependencies.

In this tutorial, we'll create a simple date of birth dropdown menu.

In my previous article I showed a tutorial on "Uploading data to Amazon S3 from Node.js". This is a good fist step to move your project to a cloud, but there's another important aspect that you have to consider. Your data. Luckily Amazon offers a range of services that supports the needs of many kinds of applications.