Data Warehouse vs Visual Real Time Analytics / Live Datamart





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Published on Sep 22, 2016

This video expains the different between a classical data warehouse / datamart and real time visual analytics with a live datamart.

Instead of using ETL and batch processing you leverage both, big data frameworks such as Apache Hadoop or Apache Spark, but also real time event processing / streaming analytics to push event into a live user interface. The user can not just monitor data live, but also take proactive actions in the UI.

Tools like Striim, Zoomdata, Bottlenose or TIBCO Live Datamart are new, disruptive real time alternatives to the classical DWH with only backwards-looking reports.


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