How do big data engineers apply big data technology to practice?
[Introduction] As a big data engineer , the application of big data technology is a necessary skill. When doing business applications of big data, by extending the data to the solution, you should pay attention to the "structure" and "dimensions" of the data, so big data How do engineers apply big data technology to practice? Let's give you a specific introduction.
1. The development status of mobile Internet
After the advent of the mobile Internet, the sensors of many mobile devices collected a large amount of data on user click behavior. IPHONE has three sensors and Samsung has six. They generate a large amount of click data every day, which is owned by certain companies, and a large amount of user behavior data.
2, data recording some data recorded in analog or in the form of data, but they are locally stored, not public data resources, not open to Internet users, such as music, photos, video, surveillance video and other audio and video data. There is not only a huge amount of data on the Internet, but it is being shared by all Internet users in unprecedented amounts.
3. Electronic map
Electronic maps, such as Gold, Baidu, and Google Maps, generate a large number of data streams. Data is different from traditional data. Traditional data represents an attribute or a measurement value, but a data flow diagram represents a behavior, a habit, and a flow. Data frequency analysis will generate huge commercial value. Map-based data flow is a new type of data that did not exist in the past.
4. E-commerce
The rise of e-commerce has produced a large amount of online transaction data, including payment data, query behavior, logistics and transportation, purchase preferences, click orders, evaluation behavior, etc. This is information flow and capital flow data.
5. The development status of social networks
After entering the era of social networks, network behaviors are mainly created by user participation. A large number of Internet users have created a large amount of social behavior data, which is unprecedented. It reveals the characteristics of people's behavior and living habits.
6. Search engine
After the traditional portals turned to search engines, users' search behaviors and questioning behaviors collected a large amount of data. The drop in the price of unit memory also makes it possible to store data.
About how big data engineers apply big data technology to practice? I’ll share with you here. If you want to learn more about data analysts, big data engineers’ skills and materials, you can continue to pay attention to it. Data technology must be very popular in the future.