Eisenbahntechnische Rundschau | Issue Int. Edition 2/2018

The trasure of the Data Lake - Predictive maintenance for vehicle fleets

September 2018 | Mathias Haimerl

Data Lakes differ fundamentally from classic concepts of Business Intelligence, such as Data Warehouses, primarily by the type of data retained. In data warehouses, mainly transactional data is stored whose structure is defined upfront and which has already undergone pre-filtering before persistence. In a data lake, however, all data is persisted regardless of its structure or relevance for known use cases. Data Lakes have the following basic properties [2]: Data Lakes collect and store data, regardless of type, format or data volume, while they are to be stored in a structured manner in classic data warehouses....