Data Warehouse evolving towards CEP?

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Whilst at DAMA last week I managed to miss the Teradata talk on “active data warehouses”. Luckily James Taylor blogged comprehensively on the talk, and although it seems Teradata declined to make the presentation available to attendees, I’m guessing it was pretty much the same as this one (“Google is your friend”/”Time to Yahoooo”, etc).

Now, DAMA is targeted at Data Professionals, many of whom also have to deal with data warehouses to store longer term data for analysis and analytics. Yet here is a highly respected DW company, who sells mostly in the DW space, advocating an event-driven approach to analysing your data. Fascinating! Furthermore, they presented “event-driven” use cases (albeit old ones) such as real-time event processing for the airline industry that we have already seen adopt CEP. But then, the use of an ESB, event-store, and rule-engine as a DIY CEP engine is a perfectly valid approach to event processing (cost notwithstanding) versus an off-the-shelf CEP engine (not mentioning any names of course).

At the same time, we see a similar development in the BI space as indicated by this IntelligentEnterprise comment on BI Emerging Technologies. The key term here is “in-memory analytics” although some of the other “emerging technologies” may also seem familiar (namely: advanced visualization – cue TIBCO Spotfire – and cloud computing – although in this case they refer to hardware clouds rather than event clouds).