Category Archives: Data Science
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
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Big Data Quotes of the Week: August 10, 2012
“With big data, you have only two concerns, but they are, naturally, big ones: where the data will come from and what your company will do with it. Solve these and you have big data licked… IT projects have to … Continue reading
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Big Data Observations: The Science of Asking Questions
“I am a firm believer that without speculation there is no good and original observation”—Charles Darwin “It is the theory that determines what we can observe”—Albert Einstein “I suspect, however, like as it is happening in many academic fields, the … Continue reading
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A Practical Introduction to Data Science Skills (Video)
Google’s Michael Manoochehri at DataEDGE 2013 presenting an introduction to data analysis and suggestions for how to become a data scientist (his notes for the presentation are here). [youtube=http://www.youtube.com/watch?v=rpwZ_i-9U0o&w=560&h=315]
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Data visualization: Plotting life expectancy against income for 200 countries over 200 years
[youtube https://www.youtube.com/watch?v=jbkSRLYSojo?rel=0] Hans Rosling’s famous lectures combine enormous quantities of public data with a sport’s commentator’s style to reveal the story of the world’s past, present and future development. Now he explores stats in a way he has … Continue reading
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
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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
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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.
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Big Data Bytes: More on What’s a Data Scientist?
Chuck Hollis calls Data Scientists “rock stars” and argues that they are “a fundamentally different profession with a different profile than the BI analysts that came before [them]. They’re more likely to have advanced degrees, frequently have a background in … Continue reading
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What’s a Data Scientist? One More Definition
Shawn Hessinger at AllAnalytics.com summarizes yesterday’s e-chat with Gartner’s Doug Laney on what data scientists do and who they are. Gartner’s definition of a data scientist: Responsible for mining, modeling, interpreting, blending, and extracting information from large datasets and then … Continue reading
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