Cloud computing and Big data: both subtle and tight

In general, an internet company must be a data company, on the contrary, an Internet company that cannot benefit from the data must not be a good cloud user. Further, mining data value many enterprises will do, but if not the lowest cost to get data value, the enterprise also cannot live. The thing that turns data into wealth at low cost is cloud computing.

So how does cloud computing help big Data turn a heap of clutter into economic benefits?

First, cloud computing is a prerequisite for large data extraction.

The information Society, the data volume is growing, the technology is progressing unceasingly, most enterprises can obtain the extra benefit through the big data. In the context of massive data, if the cost of extracting, processing and using data exceeds the value of the data itself, then the value is equivalent to worthless. Powerful cloud computing capabilities from public, private, and hybrid clouds are essential to reducing the cost of data extraction.

Second, cloud computing is the "artifact" that filters useless information.

In general, 90% of the data collected for the first time are useless data, so it is necessary to filter out available data that can provide economic benefits to the enterprise. In a large number of useless data, the focus needs to filter out two categories, one is a large number of stored temporary information, almost no input necessary, and the other is from outside the company firewall access to the internal network data, the value is extremely low. Cloud computing can provide an on-demand scale of computing and storage resources that can be used to filter out unwanted data, in which the public cloud is the best choice for dealing with external network data from firewalls.

Again, cloud computing can efficiently analyze data.

In the data analysis phase, the public cloud and hybrid cloud technology can be introduced, and the distributed processing software platform like Hadoop can be used in the data centralized processing stage. When the data analysis is completed, the raw data that provides the analysis does not need to be kept, and the private cloud can be used to analyze the results to import the information into the company.

Finally, cloud computing is helping enterprise management virtualization.

The available information is ultimately used to guide the decision making, by applying the software as a service to the cloud platform, the available information can be transformed into an enterprise's existing system to help the enterprise strengthen its management model.

Article related courses data-tier exchange and high-performance concurrent processing (open source ETL large data governance tools--kettle use and two development) in OpenStack Cloud computing Platform Management (nova-compute/network) cloud computing Course: Design and implementation of the General Campus Office cloud Platform based on PAAs (Process Control, Ztree, workflow)