Some data warehouse automation products do a good job on green-fields projects, but make it very difficult to integrate into an existing data warehouse architecture. Some don’t do it at all, while others require that you reverse engineer and rebuild the ETL / ELT processing before you can integrate new tables. We’re different.

Ajilius makes it easy to integrate with an existing data warehouse through Virtual Tables.

The purpose of a Virtual Table is to provide a mechanism to create Ajilius metadata over an existing table, without having to re-load or re-process its data. There are two types of Virtual Tables used in Ajilius – Virtual Loads and Virtual Dimensions.

Virtual Loads exist to define data that has already been loaded into the warehouse by other processes. This scenario is used where the table is to be processed in conjunction with data completely controlled by Ajilius, and may also be used in drip-feeding scenarios.

Virtual Dimensions enable you to integrate complete dimensions that have been created and maintained by external processes. If your existing warehouse has already built the perfect SCD2 dimension, there is no need to re-design and re-write that table just to fit it into our metadata structures.

Once defined, Virtual Tables work exactly the same as any other Ajilius load or dimension table.

Virtual Tables are a powerful concept when you are adding the power of Ajilius to an existing data warehouse environment.

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