Now, in the Internet field, big data and cloud computing has become inseparable from the two main themes of the relationship between the two is very subtle.
In general, an Internet company certain data at the same time the company is, on the contrary, can not obtain benefits from the data in the Internet company is definitely not a good cloud computing applications are. Furthermore, the value of many data mining companies will do, but if you can not get the data value at the lowest cost, companies also can not live. The data is the cloud computing at low cost into wealth thing.
So cloud computing is how to convert the data to help large piles of clutter information into economic benefits of it?
First, cloud computing is a prerequisite for extracting large data.
Information society, the amount of data is growing, technological advances, most enterprises have access to additional benefits through big data. Under the premise of huge amounts of data, if the extraction, processing costs and the use of data exceeds the value of the data itself, it is not worth the equivalent value. From powerful cloud computing over public cloud, private cloud and hybrid cloud, to reduce the cost of the data extraction process is indispensable.
Next, the cloud is to filter unwanted information "artifact."
Data collected for the first time, in general, 90% belong to the useless data, and therefore need to be filtered out to provide economic benefits to the enterprise data available. In a lot of useless data, filtering out the need to focus on two categories, one with a large amount of temporary storage of information, there is almost no investment is necessary; the second is access from outside the company firewall to the internal network data, the value is very low. Cloud computing can be extended to provide on-demand computing and storage resources, it can be used to filter out unwanted data, which is the best choice public cloud network data processing outside the firewall.
Again, the cloud can efficiently analyze the data.
Data analysis phase, may be introduced into public and hybrid cloud technology, in addition, a similar Hadoop distributed processing software platform for centralized data processing stage. Upon completion of data analysis, the raw data to provide analysis need not remain, the Cloud using private analysis result, information can be introduced by internal.
Finally, cloud computing enables organizations to manage virtualization.
Available information ultimately used to guide decision-making, applied to the cloud platform, you can convert the information available through the software as a service to existing enterprise systems to help companies to strengthen management.
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