As enterprises shift their business to be data-driven and incorporate initiatives such as industry 4.0, data lakes become increasingly popular as data management platforms for heterogeneous data. However, at the time of this project, data lakes were a new and thus not mature concept with various opposing definitions and only high-level considerations regarding its realization. The guiding question of this research project therefore is as follows: How can a data lake be set up and realized to support the needs of an enterprise?