All About Big Data

The Data Platform Business Unit first used not the MaxCompute (original ODPS) currently in use, but Hadoop. The original Hadoop cluster was named Cloud Ladder 1. At that time, Alibaba was also developing its own computing platform, which was the original ODPS, and named it. Cloud Ladder 2.

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 ...

"Big data" suddenly becomes ubiquitous, and it seems that everyone wants to collect, analyze and profit from the big data, while others boast or fear its great influence. Whether we're talking about using Google's massive search data to predict flu outbreaks or using phone records to predict terror, or using airline data to find the best time to buy a ticket, big data can help. The combination of modern computing technology and the myriad of data in the digital age seems to solve any problem-crime, public health, change in terminology, the danger of dating, as long as we put these numbers ...

In 2014, Ma Yun once again proposed that "human beings are moving from the IT era to the DT era." Humans have moved from the IT era to the DT era. The IT era is dominated by self-control and self-management, while in the DT (Datatechnology) era, it is a service.

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.

Whether you favor or reject it, big data has become a fact.     Now we have to go back to the facts and explore the truth ... Big Data is one of the hottest topics of the day, and none of us can be in it. Like the cloud that emerged a few years ago, big data has caused widespread concern in the marketplace, and there is an urgent need for companies to define big data.   Large data lacks a standard and pervasive definition, at least not as widely accepted as NIST's definition of cloud. &nbs ...

Martin Leach is very busy with big data work. He worked as CIO at the Broad Institute, a joint MIT and Harvard University, where he was responsible for storing 13PB of data, using supercomputers for computing. He and his team have made a remarkable contribution to the human genome mapping effort. Before the institute, his team supported the research team for the pharmaceutical giant Merck development. Now, his new job is the vice president of it research at biotech company Biogen, who currently has some data scientists in the team. This team passes big data ...

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.