Initiatives like Industry 4.0 generate large amounts of heterogeneous data that need to be stored and managed. It is not always clear what benefits this data will later bring to the company. As a result, it is usually not possible to decide at the time of data collection what value the data will have. To avoid losing any potentially important information, all data are stored in their raw format in an enterprise-wide data lake. The goal of this project was to define a framework for an implementable data lake architecture.