Main Technologies of Big Data Analysis

The so-called big data is reflected in the large number. It also involves a wide range of aspects. And It involves the relatively large and efficient calculation process and so on. Big data analysis can extract the most effective information from massive data. And it can play a key role in the marketing of enterprises. Big data's analysis will be able to be in a more favorable position in the competition. So what technologies are included in big data's analysis?

Big data analysis software includes the following technologies:

For any data analysis, the first thing is data acquisition. Therefore, the first technology is the technology of data acquisition. This tool can collect the data distributed on the Internet. And it can make some mobile clients quickly and widely. It can also quickly import the data from the data sources. And some other platforms can be into the tool, clean, transform, integrate and so on. Thus, it is formed in the database of the tool or in the data Mart. Then the basis for contact analysis and data mining is provided.

After the data is collected, another technology will continue to play a role. It can be a relational database, which is convenient for users. And it can store original data in use, and collect and use it quickly. Then there are basic architectures, such as transport storage and distributed file storage, which are relatively common.

Data processing can be said to be one of the core technologies of the software. The tool can use some calculation methods or statistical methods to deal with the data. Its statistics, induction, classification is included. Then users can deeply understand the depth value of the data.

Statistical analysis is another core function of the software, such as hypothetical testing. It can help users analyze the cause of a certain data phenomenon. On the other hand, the difference analysis can compare the great differences in the product sales. So as to make a more reasonable layout in the time and region in the future.

What is the relationship between one kind of data phenomenon and another one? Big data can analyze them through the growth and decrease of data. In addition, cluster analysis, principal component analysis and correspondence analysis are commonly used techniques.

The application of these technologies will make data development closer to people's application goals.