What does a big data engineer do?

Big data engineers mainly mine, analyze, and calculate massive amounts of data and provide important support for enterprises to make business decisions and explore business models. The daily life of a big data development engineer can be refined into three stages: finding the characteristics of past events, predicting what may happen in the future, and finding the optimal results.

The operating environment of this tutorial: Windows 7 system, Dell G3 computer.

The development of big data is actually relatively mature abroad. Big data engineers, also known as data scientists abroad, mainly provide more accurate information for corporate business through mining the value of data. basis for decision-making. In industries such as telecommunications, retail, finance, manufacturing, logistics, medical care, and education, big data engineers are already creating value.

What does a big data development engineer do?

What big data development engineers do, from a more written definition, is to mine, analyze, calculate and provide important support for enterprises to make business decisions and explore business models. . It’s a simple sentence, but the daily work content involved is not simple.

The daily life of a big data development engineer can be refined into three stages—finding the characteristics of past events, predicting what may happen in the future, and finding optimal results. These three complement each other, and senior big data development engineers can perform these actions very skillfully.

The biggest role of finding out the characteristics of past events is to help companies better understand consumers. By analyzing the user's past behavior trajectory, you can understand this person and predict his behavior.

By introducing key factors, big data engineers can predict future consumer trends. Take e-commerce as an example. Meteorological data is introduced to guide e-commerce sales. For example, if it is not hot this summer, it is very likely that some products will not sell as well as last year. In addition to air conditioners and fans, vests, swimsuits, etc. may be affected.

Big data engineers can achieve different purposes through data analysis. In the past, decision makers could only make judgments based on experience, but now big data engineers can provide them with data support.

Domestic big data engineer work content:

In China, the application development of big data has just begun to be implemented and is not mature enough. On the one hand, the number of big data talents is insufficient. , on the other hand, there is still a shortage of senior big data talents. Comments from industry professionals: In China, it is difficult to expect an all-rounder to complete all links in the entire chain. More companies will recruit talents who can complement their existing teams based on their existing resources and shortcomings.

As for what big data engineers mainly do, we can also get a clue from this evaluation. Domestic companies recruiting big data talents have different requirements for big data work: some emphasize database programming, some highlight applied mathematics and statistics knowledge, and some require experience in consulting companies or investment banks. Some hope to find application-oriented talents who understand products and markets.

Many companies will give these people who deal with big data some new titles and definitions based on their business types and team divisions: data mining engineers, big data experts, data researchers, user analysis experts, etc. ...In fact, all people engaged in these jobs can be called big data engineers.

And, in a mature data-driven company, "big data engineers" are often a team, which means the entire process from data collection, sorting and display, analysis and business insights, to market transformation , each big data engineer may be responsible for a certain link. Change careers with zero foundation to learn big data technology, and learn big data training in Jiami Valley.

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