Hadoop de Loop: Slower and Tougher Than Expected
May 1, 2015
Well, well, well. I read “What’s Holding Back Hadoop?”
If the article is on the beam, Hadoop may not be what the consultants, former middle school teachers, and assorted cheerleaders assert. I learned:
a recent survey of IT, business intelligence and data warehousing leaders found that 60 percent will Hadoop in production by 2016, deployment remains a daunting task.
Several years ago I gave a talk at a Big Data Summit. Two of my colleagues and I were regaled with slices of baloney which looked like the mystery meat served in my high school’s cafeteria. The audience gobbled up the juicy bits. My talk, which took place, about 2 pm pointed out that Hadoop was not really a solution. One used Hadoop to achieve specific outputs and then other “things” were required. The audience listened politely and then gobbled more stale baloney.
The problem is one that is all too common in digital information. Experts find it easier to talk about a chunk of functions than do something with them on time, on budget, so that those paying the bill can see some concrete result.
The survey, always a slippery fish, points out that 42 percent of the unknown respondents in a statistically murky study found that staff and expertise were the number one problem. Also interesting was the finding that 32 percent of those responding had a tough time explaining to a bean counter what the investment in Hadoop would deliver.
No surprises.
Stephen E Arnold, May 1, 2015
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Hadoop de Loop: Slower and Tougher Than Expected : Stephen E. Arnold @ Beyond Search