Big data and cloud processing

Big data and cloud computing have become one of the most interesting IT topics in recent years. There is nothing unusual about it. We live in a world, where lots of data is collected and stored every second, using more and more resources.

We process the stored data, producing even more data. Can we somehow break this loop? Cloud computing is the answer. It allows the dynamical allocation and use of hardware resources leads to a better and more optimal utilization and, as a result, to lower costs.

Business transformation, supported by cloud solutions, can be driven by different motivations. For some it is to reduce the cost of running the business, for others it is to improve stability, provide better scalability of solutions, or introduce better separation between processing and business logic. Many times it is not one but several of these factors that determine the decision to migrate solutions to the cloud.

Based on our experience, we can certainly say that the decision to move solutions to the cloud is a difficult one and comes with its own weight. This is because it involves a number of changes not only to IT systems, but often to the entire organization. However, it is an investment that, over time, brings measurable returns in the form of increased savings, reduced supplier complexity and optimization of internal operations. This directly results in increased business agility. Moreover, this kind of transformation makes both the products and the organization up-to-date, scalable and ready for new technical opportunities.

The times of cheap resources that nobody cares about are thus slowly being left behind.