News & Blogs
The New York Times
October 23, 2012 – Companies without enough data scientists, meet lots of analysts willing to take your work. EMC’s Greenplum division, which makes data analytics software, is joining forces with Kaggle, a company that finds and deploys people good at statistical inference, to produce a kind of Big Data engineer marketplace.
October 23, 2012 – Among the jobs that have shown the most resilience against the recession, few can match the data scientist. The job title is a bit of a misnomer, since what companies are really looking for are in-house Nate Silvers: People who can act as equal parts mathematician, engineer, and storyteller. In a sense, the advent of Big Data has had the counterintuitive effect of creating a new creative profession alongside your standard roster of writers, artists, and designers – the right-brained number-cruncher. And like other creative professions, a marketplace has emerged that allows data scientists to be judged by the quality of their portfolios rather than their academic credentials.
October 19, 2012 – Kaggle, a San Francisco-based startup that hosts data science competitions, has uncovered some disconcerting insights about human behavior in its two-year run. At times, its founders have been surprised by the accuracy of an algorithm, and the competitions continue to evoke controversy.
October 16, 2012 – Big Data is all around us. It’s in the way we shop, do our finances, and tweet. What does Big Data even mean, you ask? To some, it’s more information than your laptop can handle. Others define it as melding data from different sources and seeing what patterns emerge.
October 10, 2012 – There has been a recent debate across the blogosphere and social media communities around an article titled “The Data Scientist Will Be Replaced By Tools.” It’s a provocative article that postulates that due to a scarcity of data science talent, a slew of start-ups providing “data science as a service,” and new data science tools that automation will be able to address this problem. Interesting proposition, but I don’t think that tools and automation will replace the need for a data scientist, any more than data warehousing and business intelligence (BI) products replaced the need for a business analyst.
October 8, 2012 – Humans have been whining about being bombarded with too much information since the advent of clay tablets. The complaint in Ecclesiastes that "of making many books there is no end" resonated in the Renaissance, when the invention of the printing press flooded Western Europe with what an alarmed Erasmus called "swarms of new books." But the digital revolution -- with its ever-growing horde of sensors, digital devices, corporate databases, and social media sites -- has been a game-changer, with 90 percent of the data in the world today created in the last two years alone.
October 4, 2012 – SAS partners always bring valueable thought-leadership and industry perspectives to customer at events like Analytics 2012 and The Premier Business Leadership Series. Joining Deloitte and Teradata to talk about big data opportunities and trends is Jarrod Vawdrey, data scientist with Greenplum, a division of EMC.
The New York Times
October 1, 2012 – Leandre Nsabi, a senior at Rainier Beach High School here, received some bluntly practical advice from an instructor recently. “My teacher said there’s a lot of money to be made in computer science,” Leandre said. “It could be really helpful in the future.”
The Wall Street Journal
September 28, 2012 – In the pantheon of Next Big Thing trends, the concept of "smart cities" is one of the trendiest. The idea is that by harvesting the incredible amount of data "exhaust" that every one of us generates as we traverse a city, planners can optimize services in the city to make them more efficient, cleaner and cheaper. But there is a fear that such top-down programs may threaten the very vitality that attracts people to cities in the first place.
A diary of a young data scientist
September 25, 2012 – Some months ago, I wrote a post dedicated to new Data Scientists, giving my personal recommendation about several books that are pure gold, and great tools like Python, R, and Apache Hadoop. Right now, today is a new day for this kind of professional; yes, because, the Harvard Business Review (HBR) published a great article talking about the Data Scientist, written by Thomas H. Davenport and D.J. Patil; and I think that both did an incredible job in this writing, believe me, you should read it, you will not regreat. So, I want to dedicate these lines to the raising quantity of jobs with a shining title: "Data Scientist".