How to Build a Data Lake in One Simple Step
Gartner turned heads last year when it declared the majority of data lake projects would end in failure. As a self-avowed “old dog” of data warehousing, EMC’s Bill Schmarzo vehemently agrees with that assessment, but says there is one simple secret to having success with a data lake project.
Before we disclose Schmarzo’s secret formula (which really is unnervingly simple), let’s talk about how not to go about building a data lake. For starters, you can’t begin with the technology. That’s a recipe for disaster, but all too often in this over-heated big data culture of ours, that’s exactly what people do.
"The problem is that most customers are still tackling this whole big data conversation [from the technology side]," Schmarzo says. "You start with your technology, bring in some Hadoop, throw some data in there and you kind of hope magic stuff happens. It’s really a process fraught with all kind of misdirection."
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