Most Popular Big Data Technologies

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Big Data Doomsday omens or big business opportunities?

We have all heard the following predictions: By 2020, the amount of data stored electronically in the world will reach 35ZB, which is 40 times times the world's reserves in 2009. At the end of 2010, according to IDC, global data volumes have reached 1.2 million PB, or 1.2ZB. If you burn the data on a DVD, you can stack the DVDs from the Earth to the moon and back (about 240,000 miles one way). For those who are apt to worry about the sky, such a large number may be unknown, indicating the coming of the end of the world. To ...

Hadoop is not everything of great data processing-products and technologies

Hadoop is not a big deal. All release time: 2012.05.30 15:48 Source: Sadie Network Author: The great thing about cloud computing is that when you do large data processing, you don't have to buy a lot of server clusters, and renting servers to handle large numbers makes more use of control costs. Hadoop as a heavyweight distributed processing open source framework has been in the field of large data processing, enterprises ...

Big data and wearable technologies help you lose weight?

In recent years wearable equipment has gradually occupied the eyes of people, http://www.aliyun.com/zixun/aggregation/29249.html "> Smart glasses, smart watches, smart bracelet, no one does not highlight the charm of wearable equipment." Even have Google glasses with a fire can wear equipment, and even the urban management at their own expense million buy Google Glasses, easy to law enforcement evidence. Now when another technology such as fire-large data and wearable technology encounter, beauty of Meimei will no longer worry about eating too much, can not lose weight ...

4 big macro trends of big data

Today, big data technologies, especially big data analytics, have evolved into an important part of most corporate strategies, and companies are under intense pressure to keep up with the rapid growth of big data.

China with "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.

"Big Data" will change the status quo of China's industry

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.

"Big Data" will change the status quo of China's industry

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.

China with "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.

What are the core technologies of cloud computing?

Cloud computing "turned out" so many people see it as a new technology, but in fact its prototype has been for many years, only in recent years began to make relatively rapid development. To be exact, cloud computing is the product of large-scale distributed computing technology and the evolution of its supporting business model, and its development depends on virtualization, distributed data storage, data management, programming mode, information security and other technologies, and the common development of products. In recent years, the evolution of business models such as trusteeship, post-billing and on-demand delivery has also accelerated the transition to the cloud computing market. Cloud computing not only changes the way information is provided ...

A comprehensive interpretation of 8 core technologies in cloud computing

Cloud computing "turned out" so many people see it as a new technology, but in fact its prototype has been for many years, only in recent years began to make relatively rapid development. To be exact, cloud computing is the product of large-scale distributed computing technology and the evolution of its supporting business model, and its development depends on virtualization, distributed data storage, data management, programming mode, information security and other technologies, and the common development of products. In recent years, the evolution of business models such as trusteeship, post-billing and on-demand delivery has also accelerated the transition to the cloud computing market. Cloud computing not only changes the way information is delivered ...

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