What is big data, big data and cloud computing really intimate with each other?

Big data, or huge amounts of data, means that the amount of information involved is so large that it can not be captured, managed, processed and managed by the current mainstream software tools to help enterprises run Information for making more positive ends. 4V Features of Big Data: Volume, Velocity, Variety, Veracity. Large data requires special techniques to efficiently handle large amounts of data over time. Technologies for big data, including massively parallel processing (MPP) databases, data mining grids, distributed file systems, distributed databases, cloud computing platforms, the Internet, and scalable storage systems. The Internet, cloud computing and big data are now three inseparable terms. In general, an Internet company must be a data company at the same time. On the contrary, an Internet company that can not benefit from the data must not be a good cloud computing user. Further, many companies value the value of mining data, but companies can not survive without the data value of the lowest possible cost. What makes cloud computing money at a low cost is cloud computing.

So how does cloud computing help big data transform piles of messy information into economic benefits?

First, cloud computing is a prerequisite for extracting big data.

In the information society, the amount of data is growing and technology is evolving, and most businesses have the additional benefit of big data. With huge amounts of data, if the cost of extracting, processing, and using data exceeds the value of the data itself, then there is value worthless. The powerful cloud computing power from the public, private, and hybrid clouds is essential to reduce the cost of data extraction.

Second, cloud computing is an "artifact" that filters out unwanted information.

For the first time, 90% of the data collected for the first time are useless data, so you need to filter out the data available to provide economic benefits to your business. In a large amount of useless data, the key need to filter out two categories, one is a large number of temporary information stored, there is almost no need to invest; the second is from the company's firewall access to internal network data, the value is very low. Cloud computing can provide on-demand computing and storage resources that can be used to filter out unwanted data, of which the public cloud is the best choice for handling data outside the firewall network.

Third, cloud computing can analyze data efficiently.

Data analysis phase, the introduction of public cloud and hybrid cloud technology, in addition, similar to Hadoop distributed processing software platform can be used for data processing stage. When the data analysis is completed, the raw data that provides the analysis does not need to be kept all the time. You can use the private cloud to import the results of the analysis, that is, the available information into the company.

Finally, cloud computing helps businesses manage virtualization.

Available information is ultimately used to guide decision-making, and by transforming software-as-a-service (SOA) applications into a cloud platform, the information available can be translated into the enterprise's existing systems to help companies strengthen their management models.

China has a leading edge in Internet services and has now become the world's leading country in the strength of cloud computing technology. More and more enterprises are realizing that combining with cloud computing will make big data analysis easier. In the coming years, In-depth exploration of the big data and cloud computing will make us more competitive in the global market.