The data-lake holds together data from the respective application context. Prior to the acquisition, an application-related identification of relevant meta-data is carried out to ensure contextual integrity. As a result, classical algorithms or AI methods can be used for the analysis. High-performance computer systems and fast data storage are available as infrastructure for complex questions. The preparation and visualization of the results are carried out with state-of-the-art exploration tools such as multidimensional graphics libraries, interactive projection systems and data glasses.
We provide a deep insight into the digital data stock.