Largest Big Data Companies

Innovative report from the dean of top research institutes when all our actions and our lives can be "data", the company that holds the data is like owning a rich gold mountain. 　　As Victor Maire-Schoenberg says, the big data age is "the future that has happened," and in this already-occurring future, there is no bystander. December 19, 2013, by the boutique media "digital Business Times" sponsored by the "Great data creation of the era of Subversion" 2013 China Summit Forum in Beijing to make a grand Holiday Crowne Plaza Hotel ...

The movie "No Thieves" has such a classic dialogue: "21st century what is the most important?" Talent！ ”。 Now, perhaps the answer will be one more time: data. With the advent of the "Big Data" era, the importance of data will become more prominent. How important is the future data? Ginni Rometty, the new CEO of IBM (Rometty), is an impressive one. The data will be the next big natural resource, she says, and will distinguish winners and losers from each industry. Big data about what is "big data", now ...

The 2012 "Big data" development is in full swing, but the author of the paper, SiSense vice president of the data analysis company Bruno Aziza that not everyone needs big data. "Big Data" is everywhere. From social media start-ups to Central Park in New York, every company seems to be deploying big data analysis. The data from Gartner, a leading data analyst, seems to be proving the point: A recent report shows that big data will drive 2012 of global IT spending of $28 billion trillion, up from 230 by 2016.

Large data is used to describe such data sets, which are larger than the ability of everyday software to acquire, manage, and process data within tolerable deadlines. Some of the leading companies in the network technology are investing in expensive large data technology, with remarkable results. Big Data makes innovative companies the first recipients of new ways of doing business and more successful. In today's world, big data is everywhere, it affects our work, life and learning, and will continue to exert greater influence. Large data is used to describe such data sets, which are larger than the ability of everyday software to acquire, manage, and process data within tolerable deadlines. ...

The time is 1948, the location is Northeast China. Liaohsi into the critical phase. For the commander of the four field army Lin Biao, the most important goal after the Jinzhou is to defeat the Kuomintang new six troops. The method used by Lin Biao is to listen to the "intelligence report" every day, and the officers on duty should read out the situation and seizure of the troops. It's almost uniform data, and it's boring. Until one day, Lin Biao suddenly discovered that in a two-armed encounter in the Hu Shack, the ratio of the spear to the spear was slightly higher than the other battles, and the proportion of the car and the cart was slightly higher than the other battles.

The time is 1948, the location is Northeast China. Liaohsi into the critical phase. For the commander of the four field army Lin Biao, the most important goal after the Jinzhou is to defeat the Kuomintang new six troops. The method used by Lin Biao is to listen to the "intelligence report" every day, and the officers on duty should read out the situation and seizure of the troops. It's almost uniform data, and it's boring. Until one day, Lin Biao suddenly discovered that in a two-armed encounter in the Hu Shack, the ratio of the spear to the spear was slightly higher than the other battles, and the proportion of the car and the cart was slightly higher than the other battles.

The time is 1948, the location is Northeast China. Liaohsi into the critical phase. For the commander of the four field army Lin Biao, the most important goal after the Jinzhou is to defeat the Kuomintang new six troops. The method used by Lin Biao is to listen to the "intelligence report" every day, and the officers on duty should read out the situation and seizure of the troops. It's almost uniform data, and it's boring. Until one day, Lin Biao suddenly discovered that in a two-armed encounter in the Hu Shack, the ratio of the spear to the spear was slightly higher than the other battles, and the proportion of the car and the cart was slightly higher than the other battles.

The time is 1948, the location is Northeast China. Liaohsi into the critical phase. For the commander of the four field army Lin Biao, the most important goal after the Jinzhou is to defeat the Kuomintang new six troops. The method used by Lin Biao is to listen to the "intelligence report" every day, and the officers on duty should read out the situation and seizure of the troops. It's almost uniform data, and it's boring. Until one day, Lin Biao suddenly discovered that in a two-armed encounter in the Hu Shack, the ratio of the spear to the spear was slightly higher than the other battles, and the proportion of the car and the cart was slightly higher than the other battles.

The concept of large data, for domestic enterprises may be slightly unfamiliar, the mainland is currently engaged in this area of small enterprises. But in foreign countries, big data is seen by technology companies as another big business opportunity after cloud computing, with a large number of well-known companies, including Microsoft, Google, Amazon and Microsoft, that have nuggets in the market. In addition, many start-ups are also starting to join the big-data gold rush, an area that has become a real Red sea. In this paper, the author of the world today in the large data field of the most powerful enterprises, some of them are computers or the Internet field of the Giants, there are ...

Now, the industry and academia have been hot on the big data, whether it is academia or it circle, as long as can talk about some big data is very tall. However, big Data mining, big data analysis, big Data marketing and so on are just the beginning of course, there are many people directly criticize the big data or large data marketing to create privacy threats to us, what is the big data in the end? What is the value of it? Today, the industry and academia have been talking about a word, which is big data. Whether it's academia or it, it's big enough to talk about a little bit of data. However, large data mining ...