1. Big data mining can make confusing and irregular data clear and highly available

Big data is characterized by two typical features, one is a large amount of data, and the other is complex computation. The degree of structuring, availability, data extraction and data cleansing of big data is a heavy task compared to traditional databases.

Typical business system data of a typical production and sales company is segregated, split, sales, production, finance, customers, etc. Different parties actually build their own IT systems for their own business goals and outputs or even are outsourced to different IT integrators or software developers, so the systems are relatively independent.

2. Let data relate to data, and this relationship may generate chemical reactions

The famous examples of beer and diapers, chewing gum and condoms can reveal implicit relationships between typical data. By modeling and analyzing data on consumer behavior, it is possible to find that these two things, which are theoretically unrelated, become associated when a user buys a particular item, and to find that optimizing shelf items can increase sales.

3, monitoring the data generation process to detect anomalies, and to make early warnings and error correction

Modeling of system-generated data through time, you can record the average value as well as the upper and lower intervals of each point in time and time period. If an anomaly occurs at a node, then the system can quickly find the problem and perform early warning and troubleshooting. Of course, that's just the value of the technology system.

In a business system, such data anomalies give you warnings about the state of your business, help you compare historical time dimensions, determine why things have changed, and provide you with the necessary time, data, and related information to reference for decision analysis.

4. Knowledge modeling through data mining to provide decision support information

The IT system is playing a greater role in terms of its value as it helps you to provide decision-referencing information through information integration. In the past, there was a term called KDD (Knowledge Discovery). With the richness of information content on the Internet and as well as the development of major such as Yixin Huachen BI software and other companies, the value and effectiveness of web-based information is increasing.

About what aspects of big data mining are applied, Qingteng Xiaobo will share with you here. If you have a strong interest in big data engineering, I hope this article can help you. If you still want to know more about data analysts, big data engineers tips and materials, you can click on other articles on this site to learn.

The above is what I have shared with you about what aspects of big data mining are applied? The related content, more information can be concerned about the Global Green Ivy to share more dry goods