Big Data and cloud: a perfect pair of lovers

"Enterprise Network D1net" March 21 News

The arrival of large data, so that 21st century into a new era-large data era, large data has become the actual ruler of this era, but the fact that "big data" is not the word represents a solution, but a problem.

What values are hidden in these petabytes of data, and what we can get out of it, and to guide all aspects of business deployment. But this huge amount of data is actually not very useful. Therefore, in order to use its hidden value, enterprises need to collect, filter, and through the emotional analysis of the application, positioning tools and other technologies to analyze it to generate useful information, so as to serve the future business development.

The cloud can be used as an enabling device for large data analysis

Http://www.aliyun.com/zixun/aggregation/13534.html ">forrester defines large data as" the technology and skills for acquiring data in a large-scale economy. "The key word here is the economy. If the cost of extracting, processing, and utilizing data exceeds the value of the data itself, then this work is meaningless. Fortunately, as the volume of data continues to grow, technology is evolving to help most businesses use the data. Cloud technology, whether public, private, or mixed, is an integral part of getting businesses to extract potential ROI from large data analysis.

Collect and worry about

As mentioned earlier, there are very few available parts of the massive data, but there is still a large amount of data that needs to be overdone and then associated and stored for usefulness. There is little interest in investing heavily in infrastructure that stores temporary information, since most of this temporary data will be discarded. Also, data that moves from outside the corporate firewall to the internal network does not get valuable information, and handling it is also a headache for using IT managers.

This phase of the large data filtering is a perfect public cloud platform application, it can provide on-demand expansion of computing and storage resources.

Analysis

Once the data has been converted into usable form, it enters the phase of analysis that generates information. In the long run, the raw data provided to the analysis application is not necessary for retention, and the need for effective storage is the result of the analysis process. Public and hybrid cloud technologies can be used in the analysis phase to introduce Hadoop or similar alternatives in the dataset processing phase. In the case of a public cloud user, the original analysis phase can be performed on the public cloud infrastructure, and then the private cloud component is used to bring processed and available information to the company.

Virtualization, integration, and collaboration

At this stage, we actually have the information available that can be used to guide decisions. This is not the end, but also to make this information available to users, transform and shelter into existing systems, such as enterprise resource planning and customer resource management applications. Software, the service application, runs in the cloud, uses data developed earlier to enhance integration, and allows users to collaborate with each other.

D1net Comments:

Large data and cloud is a perfect match for a pair of lovers, the two interdependent, mutual promotion, who can not leave, with the cloud computing technology, the value of large data can be better transformed. And for the conversion of data into business, the cloud is a fairly perfect platform, the combination of this pair of lovers, will achieve more unexpected results.