Hire Data Scientists

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Data scientists are not required

Data scientists are described by the media as the sexiest career in the 21st century and as a superstar of the IT industry who are struggling to make big data, but in fact there are no data scientists Under the same enterprise can play big data. Up to now, as long as big data is mentioned, the most talked about is the shortage of talent, data scientists have become the most sexy career in the 21st century and so on. The report from McKinsey, a Harvard business review and consulting firm, also said that with the help of data scientists themselves naturally happy ...

Brightscore: How to hire a data analysis Daniel?

The hardest part of hiring is recruiting the latest hot pros, like in 1954, when you were recruiting silicon semiconductor experts, when transistors were not available, or 1996 years of recruiting HTML experts, when SGML experts were either in government or in publishers. And in the last two years, "data scientists" have become one of the people that many companies have to hire, and for myself, in order to build Bright Score, a business laboratory (Bright Labs) that provides interesting data for the media and the public, I recruit a team that includes a former nuclear physics ...

Wealth and pitfalls of large data

Baidu can know what we are concerned about, Taobao can insight into what we like, this is happy or worry? Large data has penetrated into every industry and business functional area today, becoming an important production factor. The excavation and application of massive data indicates a new wave of productivity growth and consumer surplus. October 28, 2013, three Xinjiang terrorists driving a jeep to the Tiananmen Square, the terrorists were all burned on the spot, but the police spent only more than 10 hours to seize 5 associates. How quickly the police lock the suspect, this is a state secret, but from the media disclosure ...

Wealth and pitfalls of large data

Large data has penetrated into every industry and business functional area today, becoming an important production factor. The excavation and application of massive data indicates a new wave of productivity growth and consumer surplus. October 28, 2013, three Xinjiang terrorists driving a jeep to the Tiananmen Square, the terrorists were all burned on the spot, but the police spent only more than 10 hours to seize 5 associates. It's a state secret how quickly the police lock down suspects, but from the telltale signs of the media, we can still find ubiquitous surveillance video and telecom tracking ...

Big data on Silicon Valley's "top": Excavators and big data companies that changed the world

Silicon Valley in these one months, I in startups demo days and a variety of large companies day-trips, thinking will escape the domestic various kinds of "big data" and the stalk of excavators, but never thought here even more. Hi~ This article is from the center of Silicon Valley, second to five, to share with you the real growth of large data on this land. Next: http://www.china-cloud.com/yunjishu/shujuzhongxin/20141208_44108.html ...

2014 Big data will have 12 trends: Hadoop and R language lead

Now, "Big data" has become one of the hottest words, more and more enterprises began to pay attention to and embrace large data, 2014 Big data will have more substantial progress, in which Hadoop and R language will be the protagonist. "Big Data" has become one of the most frequently used technical hot words in the 2013. The corresponding market has also seen rapid growth in the year. Hadoop and its ecosystems, which are associated with large data, have become a common tool for data scientists from technologies that were previously used by very talented programmers and engineers. More and more enterprises begin to embrace ...

2014 Big data will have 12 trends: Hadoop and R language lead

Now, "Big data" has become one of the hottest words, more and more enterprises began to pay attention to and embrace large data, 2014 Big data will have more substantial progress, in which Hadoop and R language will be the protagonist. "Big Data" has become one of the most frequently used technical hot words in the 2013. The corresponding market has also seen rapid growth in the year. Hadoop and its ecosystems, which are associated with large data, have become a common tool for data scientists from technologies that were previously used by very talented programmers and engineers. More and more enterprises begin to embrace ...

Eight reasons why big data projects fail

Big Data has now become the focus of attention, many companies are struggling to put their own data to use, hoping to provide support for important decisions. While big data hype and hype are raging, 92% of companies remain neutral, planning to start at "the right time" or to say they don't intend to touch big data projects.   In companies that have already hands-on big data projects, most fail and often fall into the same trap. The key to success with large data projects is to build an iterative program that encourages existing members ...

2014 12 Predictions of large data

"Big Data" has become one of the most frequently used technical hot words in the 2013. The corresponding market has also seen rapid growth in the year. Hadoop and its ecosystems, which are associated with large data, have become a common tool for data scientists from technologies that were previously used by very talented programmers and engineers.   More and more companies are embracing large data technologies and introducing large data applications into production environments.   So how will the big data for 2014 be developed? Here are 12 predictions that big figures could draw next year. People no longer talk about ...

After "Madly in Love", examine the pain and pass of big data

Like a high bonus car Grand Prix, first prepare the car, familiar with the track, and then adjust the good mentality, timely sprint, to get a good position. The big data also has the gestation period, the preparation period, the result originates from the demand and the desire.   Each period has pain points and difficulties, the result is the best. Big data has big energy. It is significant for economic growth-"in the US, in retailing and manufacturing alone, big data analysis has the potential to raise GDP by 325 billion dollars." "This is an exciting estimate from analysts. In the global economic growth slowdown and even fatigue is all the more urgent need for new ...

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