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Data Scientists Losing their Sex Appeal?

At year end 2013, a probing article appeared in CMS Wire, “The End of Data Scientists and Other Predictions.” I remember reading it at the time and thinking to myself, “Oh well, I better fire up a screenplay template in Word like everyone else here in LA and start typing because I’ll be out of work soon.”

Quantum Machine Learning

Quantum_ML

Ever wonder what will happen when exabyte data stores are the norm, and even the parallelism of Hadoop can no longer provide the necessary processing power to address the data deluge? Quantum computing may hold the answer.

Netflix Reveals All (well, at least a lot)

netflixlogo

Last night I had the distinct pleasure of attending a Data Science Track event sponsored by the LA Machine Learning meetup group: Data Science @ Netflix.

Big Data Jobs Index

iCrunchData

insideBIGDATA recently was contacted by our friends over at icrunchdata, a leading job search site for big data, analytics, and technology jobs. Todd Nevins, Co-Founder and Director of Marketing & Media Relations, pointed out that they just passed 500,000 Big Data jobs posted online via the Index powered by icrunchdata.

Big Data vs. Small Data – Is there a Difference?

I’ve been monitoring an interesting discussion on the Big Data and Analytics group over on LinkedIn – “Is there a difference between big data and small data?” It is an interesting question, one that I’ve heard before during my travels down in the trenches as I explore our industry.

The Death of Data Science has been Greatly Exaggerated

DataScience_dead

I’ve been finding it fascinating to watch on as data scientists discuss the death of data science. It all started with a rather sensationalized post over at Slashdot: “Data Science is Dead” by Miko Matsumura, Vice President at Hazelcast.

Big Data or Big Bubble?

Surprise

I think most would agree that the Big Data industry is witnessing an accelerated hype cycle that feels all too familiar. Remember 2000? I sure do. That was the year my bubble burst.

Big Data & Brews

big_data_brews

Big Data & Brews reminds me of the good old pre-dotcom-bubble days when I used to attend many networking events over at the Westwood Brewery near UCLA. Those were heady days. It was beer and tech back then as it seems to be today. Now, instead of meeting up in person, you can enjoy contemporary discussions of the big data industry by watching the host, Datameer CEO Stephan Groschupf, and his guest in an informal pub atmosphere.

Why Big Data Needs Cloud

Daniel Hardman

“Tackling big data without a cloud-centric worldview is sort of like building a skyscraper without doing a soil study first: you might make some initial progress, but sooner or later you’ll discover that you need to understand and thoroughly adapt an (inadequate) foundation. At a minimum, you’ll experience false starts and thrashing; in many cases, you may never place a capstone.”

The SAS versus R Debate

SAS_versus_R

The question posed was simple enough. At the time I didn’t think such a firestorm would result. Here’s the original post from August 2011 with the subject “SAS versus R”