Author Archives: GilPress
Big Data Bytes of the Week: What’s a Data Scientist?
What’s a Data Scientist? Joshua Konkle, Vice President at DCIG, quoted (scroll down) a few definitions earlier this week:
Big Data Bytes of the Week: The End of Big Data?
The end of Big Data? Based on his discussions with CIOs, reports Derrick Harris at GigaOm, Opera Solutions’ CEO Arnab Gupta “thinks the analytics market will crest around the end of next year as CIOs face enormous data spikes.” Is … Continue reading
Asking Good Questions is What Will Make Big Data Work for You
Asking good questions as the key to unleashing the potential of big data got significant blog time this past week.
The 7 Cs of the Cloud: A Big Data Taxonomy
What’s the new landscape of the information business as Cloud Computing and the Big Data Wave usher in the Age of Big Cloud Data (ABCD)?
The First Law of Big Data
EMC released today the 5th annual Digital Universe study from IDC. So now we have five years’ worth of estimating, with a consistent methodology, the amount of data created and copied annually in the world. It turns out that the … Continue reading
Crowdsourcing and Big Data
The Wikipedia article on Big Data says it “requires exceptional technologies to efficiently process large quantities of data within tolerable elapsed times.” The examples given (Hadoop, MapReduce, Cloud Computing, etc.) do not include one very exceptional technology, the human brain, … Continue reading
Big Data News Roundup
IBM’s Watson visited a few conferences last week. Watson’s lead developer, David Ferrucci delivered a keynote at the ACM’s 2011 Federated Computing Research Conference in San Jose, CA.
Hunch.com: Training the Web to be Your Friend
Would you like the Web to understand your inner GPS? Then go to Hunch.com and start training the Web. After answering a few questions about your tastes, preferences, and opinions, you will get a set of recommendations from other Hunch … Continue reading
Big Data for Enterprise Decisions
James Taylor: “For all the focus on visualization and ad-hoc queries in Big Data systems, the end result is often going to be automation – a Decision Management system.
Data Scientists Wanted
“The United States alone faces a shortage of 140,000 to 190,000 people with analytical expertise and 1.5 million managers and analysts with the skills to understand and make decisions based on the analysis of big data.” –McKinsey