Alessandro Marin

The following post outlines a more flexible architectural design for DeepSee. As in the previous example, this implementation includes separate databases for storing the DeepSee cache, DeepSee implementation and settings, and synchronization globals. This example introduces one new databases to store the DeepSee indices. We will redefine the global mappings so that the DeepSee indices are not mapped together with the fact and dimension tables.

The following post is a guide  to implement a basic architecture for DeepSee. This implementation includes a database for the DeepSee cache and a database for the DeepSee implementation and settings.

In part 1, part 2, and part 3 parts of this series we set up three user types. In part 4 we saw how to secure model elements and DeepSee items. In this last part of the tutorial we conclude with some remarks on DeepSee security and troubleshooting tips. In particular, we see how pivot tables in User Portal can be "hidden".

In part 1 and part 2 of this series we set up two user types, simpleuser and poweruser. In this part of the tutorial we create one last user type having privileges typically needed by an administrator/developer in analytics.