Introduction
Companies and organizations generate data and are increasingly using this data to generate additional values. While traditionally this was a task for business administration analysts, today data plays an important role in all aspects and divisions of the organizations. To enable companies for this change, an efficient and long term data architecture is required. Here we are going to discuss many aspects and technical challenges that need to be addressed to build such a data architecture.
The motivation for this article came from the observation that data platforms often are reduced to the database component which is a huge oversimplification of the whole data lifecycle. We want to illustrate the amount of functionality that is required for a basic, long term data strategy in a company.