Home > ETL Best Practices > Operational data store (ODS) vs. data warehouse

Operational data store (ODS) vs. data warehouse

There are many discussions about the ODS vs. the data warehouse architecture.

Operational Data Store, from its very name, means a data store used for operational reasons, created for integrating data from diverse source systems.

Many experts agree that ODS is part of the data warehouse architecture. It is the first stop for the data on its way to the warehouse.

Ok, the Asset Manager fits the definition of the ODS. It has a normalized structure, and it integrates data based on a subject area (in this case, the IT assets). We have over 20+ premium applications. The Enterprise Asset Manager ODS was created to collect data using a feed from each application to provide near real- time premium data across the enterprise. This AM ODS will be refreshed to stay current, and it satisfies the tactical/operational reporting needs. The history from this ODS can be sent to the data warehouse in the future.

This article Data Warehousing Overview has a very easy to understand diagram to show where an ODS fits in the data warehouse architecture.


Categories: ETL Best Practices
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