At present, there are three main directions for big data employment:
First, big data talents in data analysis,
The second is the big data talents of system research and development.
The third is the big data talents for application development.
Their basic positions are big data system R&D engineer, big data application development engineer and big data analyst.
According to the statistics of professional friends, the average salary of big data in Beijing:? 2 1000/ month
For job seekers, big data is only one direction of career, while professional positions are about deciding what to do. Big data practitioners/job seekers can choose their own big data-related jobs according to their skills and interests. Here are five hot jobs related to big data.
1, visual tool development
Visual development means that on the graphical user interface provided by visual tools, relevant application software is automatically generated by visual development tools through operating interface elements, and all data can be easily connected across multiple resources and levels.
Data visualization used to belong to business intelligence developers, but with the rise of Hadoop, data visualization has become an independent professional skill and post.
2. Information architecture development
Big data reignited the upsurge of master data management. Making full use of enterprise data to support decision-making requires very professional skills. Information architects must know how to define and document key elements to ensure that data is managed and utilized in the most effective way. Key skills of an information architect include master data management, business knowledge and data modeling.
3. Data science research
Data scientist is a brand-new type of work, which can transform enterprise's data and technology into enterprise's commercial value. With the development of data science, more and more practical work will focus on data, which will enable human beings to understand data and thus understand nature and behavior.
4. Data prediction and analysis
Marketing departments often use predictive analysis to predict user behavior or target users. Some scenarios of predictive analysis developers seem to be similar to data scientists, that is, testing thresholds and predicting future performance through assumptions based on historical data of enterprises.
5. Research on data security
Data security positions are mainly responsible for the management of large-scale servers, storage and data security in enterprises, as well as the planning, design and implementation of network and information security projects.
So which is more suitable for learning, online training or offline training?
One: avoid the fatigue of going to classes in different places or other provinces.
Three: the study time is long, and you can study for at least one year. But for students who don't want such a long study time, online is more suitable.
Third, people with different foundations and stages can enjoy the same education. Avoid being eliminated because of poor foundation. But it will also delay the time of basic students.
"off-line training"
We have learned about the mode of online training, so let's learn about offline training. Actually, I don't need to say that offline training is actually the same as what we have been learning at school. We all study together in the same classroom.
The advantage is that everyone has a good learning atmosphere together, which is conducive to the learning of big data. This environment is very important for many students who have no self-control. And I can communicate face to face with my classmates and teachers, and any problems can be solved in time.
The disadvantage is that there are so many people in the class that it is impossible for the teacher to take care of every student. But there are many students around who don't understand and need help.
Novices who learn big data, if you want to train, I hope this article can bring you some help.
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