Enterprises have had it drilled into them that they need a “big data strategy.” But the vast majority are unsure of the appropriate steps they need to take and many haven’t even seen a significant impact from...
Event: February 7-9, 2017
Spark Summit East 2017
Hear Alpine Data's VP of Engineering, Lawrence Spracklen, speak about Spark Autotuning.
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The Data Science Hierarchy of Needs
Data scientists need to swap sex appeal for power
If you go by the latest headlines, the data scientist is the most coveted and scarce enterprise commodity on the employment market. But you could just as easily argue that it’s a trendy title that has not nearly lived up to the hype...
Machine learning: Clustering and classification on the campaign trail
As the election season rampages on, we categorize voters into broad demographics — soccer moms, NASCAR dads, blacks, whites, ALICEs, yuppies — in an attempt to understand and discuss this complex, churning electorate...
Is Big Data’s Gold Rush Overhyped?
Venture capitalists and corporate investors have poured more than $1 billion into big-data software companies over the last five years. We’re still waiting for a runaway success story among them...
Putting Deep Learning to Work
Hype aside, deep learning can open up new sources of data for business analysis
