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Six disruptive possibilities from big data

Specific ways big data will inundate vendors and customers.

Disruptive PossibilitiesMy new book, Disruptive Possibilities: How Big Data Changes Everything, is derived directly from my experience as a performance and platform architect in the old enterprise world and the new, Internet-scale world.

I pre-date the Hadoop crew at Yahoo!, but I intimately understood the grid engineering that made Hadoop possible. For years, the working title of this book was The Art and Craft of Platform Engineering, and when I started working on Hadoop after a stint in the Red Hat kernel group, many of the ideas that were jammed into my head, going back to my experience with early supercomputers, all seem to make perfect sense for Hadoop. This is why I frequently refer to big data as “commercial supercomputing.”

In Disruptive Possibilities, I discuss the implications of the big data ecosystem over the next few years. These implications will inundate vendors and customers in a number of ways, including: Read more…

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Strata Week: Unfortunately for some, Uber’s dynamic pricing worked

Strata Week: Unfortunately for some, Uber’s dynamic pricing worked

Dynamic pricing angers some Uber users, Hadoop hits 1.0, a possible set back for open-access research.

Uber's dynamic pricing worked as intended on New Year's Eve, but not everyone is happy about that. Elsewhere, Hadoop reaches the 1.0 milestone and proposed legislation seeks to repeal an open-access research policy.

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