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Active data warehousing is the technical ability to capture transactions when they change and integrate them into the warehouse, along with maintaining batch or scheduled cycle refreshes. An active data warehouse offers the possibility of automating routine tasks and decisions. The active data warehouse exports decisions automatically to the online transaction processing (OLTP) systems.
Real-time data warehousing describes a system that reflects the state of the source systems in real time. If a query is run against the real-time data warehouse to understand a particular facet about the business or entity described by the warehouse, the answer reflects the fully up-to-date state of that entity. Most data warehouses have data that are highly latent and thus reflect the business at a point in the past. In contrast, a real-time data warehouse has low latency data and provides current (or real-time) data.
Simply put, a real-time data...
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Mohania, M., Nambiar, U., Vo, H.T., Schrefl, M., Vincent, M. (2018). Active, Real-Time, and Intellective Data Warehousing. In: Liu, L., Özsu, M. (eds) Encyclopedia of Database Systems. Springer, New York, NY. https://doi.org/10.1007/978-1-4899-7993-3_8-3
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