Quickly understand the relationship between cloud computing and big data

Today, a good Internet company is definitely the company that owns the data operation. On the contrary, the Internet company that can not benefit from the data is not the cloud computing user. The Internet, cloud computing and big data are now three inseparable terms. 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. Technically, the relationship between big data and cloud computing is like the positive and negative of a coin. Big data must not be handled by a single computer and must be distributed computing architecture .

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.