The majority of data warehouse (DW) and business intelligence (BI) deployments today are designed for updates on a 24-hour cycle. In other words, most data integration routines load a data warehouse in nightly batch processing, and most reports are likewise refreshed overnight after the data warehouse has been updated. While this is a tried-and-true method that all DW and BI deployments should support, many user organizations also need to integrate data into their warehouses and refresh reports multiple times a day, so they can embrace time-sensitive business methodologies like zero latency, performance management, just-in-time inventory, and so on. The challenge is to extend a traditional data warehouse so it's also a dynamic data warehouse that integrates and delivers information in real time or on demand.
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