Four Big-Data Models

There's no one right way to "do" Big Data.
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Four Big-Data Models
Photo by Wilson Blanco / Unsplash

"Essentially, all models are wrong, but some are useful."
—George E. P. Box

In Too Big to Ignore, I make the point that there's no one right way to "do" Big Data. Last time I checked, there were nearly 130 different types of NoSQL databases. Even if you take a prominent Big Data tool like Hadoop, you won't find unanimity around how to configure it, much less which components are needed. As I wrote in the book:

At present, there is no one “official” Hadoop stack or standard configuration. As of this writing, Hadoop includes more than a dozen dynamic components or sub-projects, many of which are complex to deploy and manage. Installation, configuration, and production deployment at scale is often challenging.

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