Big-data is the single most hyped technology term in the market today. If you have held that suspicion for a while, now you've got Gartner backing it up with the "Hype Cycle for Big Data, 2012" report, which the firm released last week (registration required).
Gartner's Hype Cycle is extremely crowded, with nearly 50 technologies represented on it. Many of them are clustered at what the firm calls the peak of inflated expectations, which it says indicates the high level of interest and experimentation in this area. As experimentation increases, many technologies will slide into the "trough of disillusionment," as MapReduce, text analytics, and in-memory data grids have already done, the report says. This reflects the fact that, even though these technologies have been around for a while, their use as big-data technologies is a newer development.
Interestingly, Gartner says it doesn't believe big-data will be a hyped term for too long. "Unlike other Hype Cycles, which are published year after year, we believe it is possible that within two to three years, the ability to address new sources and types, and increasing volumes of information will be 'table stakes' -- part of the cost of entry of playing in the global economy," the report says. "When the hype goes, so will the Hype Cycle."
If you have been struggling with big-data, delving into Gartner's in-depth report on big-data hype might be well worth your time. In the slideshow below, I've provided a quick sampling of some of its data points.
Click on the image below to get started, and be sure to share your own take on big-data on the message board below once you're done.