GDPR is the current focus of all organizations working with data in Europe. Svenska Spel are using Atlas and Ranger as an essential part to make our
data warehouse to conform to GDPR.
This presentation will show how Atlas and Ranger, together with Hive are used in practice to control access and masking of data in our data warehouse. We will demonstrate how we with a model driven development process, using data vault modeling, have extended our model with metadata. From the metadata we generate our access control configuration. The configuration is automatically synchronized to Atlas and Ranger in our deployment process.
Previously our data model was only used to generate most of our SQL code. By extending our data model with metadata for access control it became inevitably
the source of truth and guarantee the model's conformity with the reality. This have increased the quality of our data model and decreased maintenance. It helps us maintain our data over its full life cycle and ensures the
correct rules for access control is in place.