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Auto Database Integration

Case Study

Managing an evolving data model of a large heterogeneous set of data sources is a challenging task. The complexity of this task
increases significantly when data is replicated for example to reduce computational latency by storing data originating from a
relational database in an in-memory data grid.
This use case outlines how a logistics company has cut maintenance costs and drastically reduced the overhead of setting up new
applications. Hence, time to market is shortened by streamlining the process of keeping the data model of the in-memory data grid
in sync with the data sources.