We hear a lot about big data’s ability to deliver usable insights — but what does this mean exactly?
It’s often unclear how enterprises are using big-data technologies beyond proof-of-concept projects. Some of this might be a byproduct of corporate secrecy. Many big-data pioneers don’t want to reveal how they’re implementing Hadoop and related technologies for fear that doing so might eliminate a competitive advantage, The Wall Street Journal reports.
Certainly the market for Hadoop and NoSQL software and services is growing rapidly. A September 2013 study by open-source research firm Wikibon, for instance, forecasts an annual big-data software growth rate of 45% through 2017.
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According to Quentin Gallivan, CEO of big-data analytics provider Pentaho, the market is at a “tipping point” as big-data platforms move beyond the experimentation phase and begin doing real work. “It’s why you’re starting to see investments coming into the big-data space — because it’s becoming more impactful and real,” Gallivan told InformationWeek in a phone interview. “There are five use cases we see that are most popular.”