What is the future of big data?

What do we talk about when we talk about big data?

Typically Hadoop and a large data base.

But the human brain is far from evolved to be able to receive the data quickly, analyze and process it, and use the results in the real world. Although the internet can help us solve such problems, it also brings some drawbacks, such as making us lazy and completely handing the work to the computer.

Although the computer in the data storage to provide us with convenience. But the human brain is the best tool for analyzing data.

One of the greatest advances in science should be to let computers simulate the human brain. The Japanese supercomputer K computer is the only computer that can simulate the human brain. It has 82,000 processors.

Simulating the human brain and analyzing the data in human form is the direction of large data development. Today's big data, or let the computer regularly analysis of static data, obviously this is far from enough. Every second the world produces a lot of data, and large data should be able to collect and analyze these dynamic data, just as humans do in real time.

Our hopes for technology are getting higher, and now my expectation for technology is that it will work like the human brain. Most importantly, large data should not only be able to handle real-time information, but should also be able to provide optimal solutions based on the results of information analysis. And not just show us the results.

Large data should have devices like human facial features, access to information from a variety of sources, and large data itself as a function of the brain. Analyze the collected information in real time and finally respond.

The development of big data is inseparable from the efforts of the Internet giants, such as Twitter, Facebook and Yahoo. They spend a lot of time and resources to develop real-time data processing and communication systems. For example, Facebook's wormhole, Yahoo's Storm-yarn and Twitter and LinkedIn open-source data.

The efforts of these companies have driven the development of large data, and the data generated by the users ' services are the cornerstone of large data. We can clearly see that big data in the future will usher in a broader market.

Tomorrow's big data should be able to monitor, collect and analyze data in real time, handle more complex tasks, and be used in more industries. Large data will become as efficient as the most powerful tool on the data, and this tool is the human brain.

Attention: Internet News http://www.joelde.com/