Big data has been the talk of the analytics world for quite a while and shows no sign of slowing down. The promise of analyzing all relevant information, regardless of source, is an incredibly appealing idea. But despite all the buzz and interest, very few big data implementations have moved beyond the core Hadoop use cases of Web analytics, ad click analysis and failure prediction. This limited perspective has a lot to do with the fact that all big data has typically been lumped under the label of unstructured data, thus limiting its potential.

Has this stereotype impacted adoption?

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