Over the years, data warehousing has gone through a number of evolutions – from a relatively simple reporting database to sophisticated analytical applications. Data warehouses typically produced static sets of data that could not give users the most current and recent changes necessary to ACT upon the results of Business Intelligence analyses. This lack of insight was due to the fact that the warehouse was set up to provide only static snapshots of data… but that is often not sufficient to react to current situations. This is where the need for the Operational Data Store was generated. Fortunately, now you can have integrated data in the static snapshots and in live, current records – an environment called the Active Data Warehouse in which both types of data and requirements can co-exist. This paper examines the characteristics that make the Operational Data Store in an Active Data Warehouse different from the traditional data warehouse.
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