The fact that #IBM is not using #Hadoop for its new #Watson Data Platform cloud service provides a fresh reminder that the Hadoop vs. Spark debate isn't dead. But don't count Hadoop out. Its data management capabilities are not yet being matched by #Spark or other fit-for-purpose big data cloud services.
Leaving Las Vegas, or more specifically IBM's World of Watson, we're reflecting on the progress that IBM's made towards delivering cognitive computing and the reality that the onramp remains a long one. For the most part, were seeing the steady rollout of point services, such as the Watson Virtual Agent reported by Larry Dignan that offers modest chatbot capabilities.
But the biggest release of this cycle, which IBM has been taking a rolling thunder strategy, is what's now finally called the Watson Data Platform. My fellow Big on Data blogger George Anadiotis, covered the initial announcement, which was all about the strategy (and an interim product name), while Larry's report documented the final announcement.
At the conference, we had a chance to take a deep dive into the new platform, not to mention stepping up to the bar and letting Watson pick out a craft brew based on your profile. For the record, Watson blew it in deciphering my taste, concluding that I prefer lagers because I like blackberries, chocolate cake, and drinking beers in wintertime. We'll do a much deeper dive later this week into the Watson Data Platform, and what it means for IBM's big data strategy,
http://www.zdnet.com/article/have-we-reached-peak-hadoop/
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