The flow of every project in a perfect world goes approximately thus: there are a lot of tasks at the beginning, so we conduct a plan how to deal with them; we start to solve them and the number of tasks decreases over time. Eventually, of course, there are no tasks left and the project is finished. However, in reality, every now and then an unexpected or unforeseen task comes up and slows down the process a bit.

What if we could predict those situations, take them into consideration in the planning phase of an iteration and by doing so, significantly save time and money?

Staging external relational data can be a time-consuming task, but it becomes a lot easier and efficient with the help of automation. We explain step-by-step how we’ve managed to overcome the obstacle of manual staging and speed up the process of building a data warehouse.

Microsoft Azure is a massive set of hybrid cloud services and it has been present for a while now. Its expansiveness and the variety of services it offers might seem overwhelming, but we’ve listed out some of its most important features which our colleagues find valuable and handy.