**** Looking BACK to 2012 ****
Let's start digging into big data by examining some myths that can impede early adopters.
A common belief from people with a technical background: More data can be handled by simply using more processors and programs. That's scalability!
But let's look a bit closer at data growth patterns with respect to the resources we typically have.
We have an intuitive understanding how data continues to accumulate at near exponential rates (the red curve above). Please insert your favorite big data volume statistic here.
A sad reality: The number of programmers, developers and analysts is not growing anywhere near as fast (shown by the green curve above)!
Our ability to comprehend information is the gap between both curves. The shocking truth: Our understanding is actually shrinking relative to the amount of data available. Or in other words, organizations potentially understand less than they used to - and less than many of us expect.
Tomorrow: We'll discuss a key strategy for bridging this ever growing knowledge gap.
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