Now, the concept of big data has become popular. Big data is no longer just as simple as big data. The most important thing is to rely on a high-performance big data analysis platform to manage and deeply mine big data, which is a feasible way in the current big data application

Now, the concept of big data has become popular. Big data is no longer just as simple as big data. The most important thing is to rely on a high-performance big data analysis platform to manage and deeply mine big data, which is a feasible way in the current big data application field.

As more and more applications involve big data, and the attributes of these big data, including quantity, speed, diversity, etc., present the growing complexity of big data, what are the applications of the big data analysis platform? What about value?

1. Intelligence

Intelligence has always been an attribute that has attracted much attention in data analysis software. The degree of intelligence determines the breadth and depth of work that the big data analysis platform can handle. The standard for measuring the intelligence of a software is the degree of human participation. The lower the level of human involvement, the more intelligent the software becomes.

2. Data visualization

Big data analysis users include big data analysis experts and ordinary users, but the most basic requirement for big data analysis for both of them is visual analysis, because visual analysis can intuitively present the characteristics of big data. At the same time, it is very easy to be accepted by readers, as simple and clear as looking at pictures and talking.

3. Big data processing capability

A basic feature of big data is the huge amount of data. Whether a big data analysis platform can quickly process and mine massive data is a basic indicator for evaluating its performance. Relying on advanced architecture and powerful indexing engines, big data analysis platforms must be able to process massive amounts of data quickly and accurately.

4. Easier to use and more humane

The big data analysis platform will put more emphasis on humanization, and its functions will become increasingly "foolish", emphasizing ease of use, stability, and openness, strengthening communication between people, and focusing on the integration of many information sources. And further improve the scalable management support platform framework, thereby changing the previous status quo of "people looking for the system" and realizing the new concept and function of "the system looking for people".

5. Extensible and provides customer customization

In response to the unique needs of different customers and different industries, the system not only provides core technologies, but also makes the system personalized, that is, adding your own code and solutions to the original solution to enhance Customized interfaces and extension features; can provide enterprises with customization based on business intelligence platforms.

Guangdian Technology said that with the further deepening of big data applications, there will be more and more application scenarios, and the big data analysis platform will become more and more close to the market and people's actual needs, becoming more and more intelligent, Humanization, thereby maximizing the value of big data applications.