Data Scientist Positions

In 2006 Jonathan Goldman went to the business social networking site, LinkedIn, when LinkedIn was just a start-up, with fewer than 8 million registered people, but many members invited their friends and classmates to join, so the number of registrations increased rapidly. But it is not easy for users to find users who are already registered on the site, and the ratio does not meet the expectations of managers. Obviously, some social experiences are missing. As a LinkedIn manager says, it's like, when you get to the conference reception, you find someone ...

On the face of it, looking for the wisdom of big data on Twitter seems like an ironic suggestion. 　　In fact, most ordinary consumers and business users use Twitter as a platform for data generation, and the information provided will be used as a source of analysis rather than as a guide to analyzing the solution. Twitter does, however, carry a huge amount of valuable data expertise--provided we know where to find them. Like other social platforms, Twitter is sometimes as noisy as it has no real value. If you add "large number ...

Large data is a vague expression of large-scale phenomena. 　　The term has now been overheated by entrepreneurs, scientists, governments and the media. Five years ago, a Google research team announced a remarkable achievement in the world's top science magazine Nature. The team can track the spread of flu in the United States, which does not depend on any medical examination. They are tracking even faster than the CDC. Google's tracking results are only a day's delay, and the CDC needs to compile a large number of physicians ' diagnoses to get a spread of the trend chart ...

Winter San Jose, still comfortable, the sun shines on the face warm, peaceful. Double Tree Hotel Conference hall, an interesting topic is being hotly discussed: "Big data is so omnipotent, so why am I still single?" "In recent years, more and more people have sought a word:" We have to believe in the data, except God. "Big Data" with its unique mass, diversity, high value and other characteristics obsessed with many areas of people, it seems that it can solve all problems. At the moment, this girl's problem has brought the interest of the US storage and network leading manufacturer LSI engineers ...

However, in recent years, the rapid transformation of scientific research field to data-centered, has a negative impact. In summary, the ability of competent scientific researchers and the ability of qualified industry practitioners are increasingly indistinguishable. The typically inert academic community has just begun to adapt to this shift, and other areas have already begun to scale up and reward this capacity. 　　Unfortunately, this has led to a lot of talented would-be researchers in academia, can only invest in the arms of the industry. The magic effect of data the 1960s, physicist Eug ...

In the wave of cloud computing, large data and mobile technology, IT systems play a more and more important role in telecom operators ' business, and transform from back-office support system to core business system. A survey from the Economist Information Division shows that more than half of the respondents rely heavily on it to improve their operational efficiency. Among all respondents, the most efficient companies, those that outperform their peers, have identified different roles for it in key areas of their business. 　　2013, operators will invest more money and human resources to transform IT systems. In this year's "it Month" newspaper ...

This article originally contained the FT website, original title: Big Data:are We making a big mistake, it seems that I saw a bit late, but still share it. Because it does discuss some of the issues I've been thinking about recently, it's a speculative article. 　　If you've never known big data before, this can be considered a primer. This article is only opinion, because the query is more simple than the proof, but the big data is now hot, these negative comments, if as a conversation to collect, is also good ...

Winter San Jose, still comfortable, the sun shines on the face warm, peaceful. Double Tree Hotel Conference hall, an interesting topic is being hotly discussed: "Big data is so omnipotent, so why am I still single?" "In recent years, more and more people have sought a word:" We have to believe in the data, except God. "Big Data" with its unique mass, diversity, high value and other characteristics obsessed with many areas of people, it seems that it can solve all problems. At the moment, this girl's problem has brought the interest of the US storage and network leading manufacturer LSI engineers ...

As more and more companies begin to dive into the torrent of big data technology, market demand for IT professionals is rising. 　　Today, people with the ability to collect, organize, analyze and build data from different sources are on the rise for their careers. In the current digital age, the volume of data is much richer than any period in history, and many times this richness even becomes a heavy burden. Companies are starting to devote a lot of resources to cloud technology, mobile technology and social media. Combined with these emerging areas, coupled with the enterprise's own operation of the inevitable ...

As more and more companies begin to dive into the torrent of big data technology, market demand for IT professionals is rising. 　　Today, people with the ability to collect, organize, analyze and build data from different sources are on the rise for their careers. In the current digital age, the volume of data is much richer than any period in history, and many times this richness even becomes a heavy burden. Companies are starting to devote a lot of resources to cloud technology, mobile technology and social media. Combined with these emerging areas, coupled with the enterprise's own operation of the inevitable ...