0 30-year-old switch large data base industry, feasible? Today small for everyone to analyze all aspects of it!
A large data whether it is worthwhile investment?
1, we first discuss the next big data is not worthy of everyone engaged in an occupation, such as the following problems.
Why so tempting big data, whether it is worthwhile investment, now go late?
First, many large enterprise data, and gradually industrialized. From the beginning of 2008, big data has become the favorite in the field of Internet information. Resulting, big data companies have mushroomed after another. Pure bigger data services company, the country had as many as hundreds. In addition, thousands more large enterprises are the main use data to drive business development company.
Second, big data talent demand, wages compared to other industry ahead. Tens of thousands of companies regard the big data as the commanding heights of corporate business development, are willing to seize the big data talent cost. Take the Internet financial industry, not less than one million businesses, with an average every enterprise data requires more than 10 people, BAT not to mention, each of personnel data are in thousands.
2, Java Big Data Salary:
According to preliminary estimates, the demand for professionals in all aspects of domestic data related to 2020 millions, more than one million gap. Under such a situation, big data talent salaries are often high starting point, the rapid growth of a two-year master's degree graduates who are familiar with a certain type of model algorithm, a monthly salary of less than 20,000 is basically unable to recruit a.
Finally, Big Data represents the future direction of development of high technology, whether it is social intelligence, smart cities, smart communities, smart transportation, smart manufacturing and smart financial management and so on, rely on large data base, this is how a huge market and development opportunities. So, at this stage, no matter when you decide to invest, there is a very big opportunity for at least the next decade, big data will not decline.
In the process of learning big data have met any problem, you can join my Java / big data exchange study buttoned qun: the top three are: seven hundred thirty-two, the middle three are: three hundred and eight, the last three are: a seventy-four, a lot of communication problems, help each other, the group has a good tutorial and development tools. Big Data have any problems learning (learning methods, learning efficiency, how employment), may at any time to consult me
Second, who can engage in big data?
We look at what people can do big data related work.
Look at the following questions:
What kind of person can engage in big data work, I'm a bio, materials, automation, telecommunications, and other non-economic and financial mathematics, computer science students can also expand data?
First of all, I would like to clearly tell you is that, completely, much case in point the side. Dr. biological after graduation, working in big data cloud computing, big data analytics engaged in excavation work in economics, there is also engaged in the marketing of the operations of big data;
Secondly, large data relating to working in all aspects, there is need to use advanced technology, also it has a very simple task, mainly you are willing and determined to engage in large-data-related work, whether you previously read what professional, will be able to find the most suitable your entry point into the big data industry work;
Again, the problem of how to find the most suitable entry point, we need a comprehensive analysis of personal characteristics, educational background, hobbies, social relations, ideals and goals of the future, to make more personalized the most suitable entry point for people to cut large data industry work.
Some people suitable to start from the big data analysis, some for the big data products to start, some people suitable to start from the big data reptile work, some people suitable to start from the big data of operators, some people fit from data mining algorithms model to start, this is from the big side, there are more small entry point, and so on, each person's background is different, the starting point will be different. I Take, for example, an engineering undergraduate reading material, very interested in personal computer software, during the school also had to write some JAVA program, for large data also curious about his friend's company also happens to have a big data job requirements, then he can arrange large data study plan, to engage in big data technology research and development work.
Finally, landing practice. Try to find an even smaller only a few people's business, even if there is only traditional data big data, to engage in related work data, in practice projects, continuous learning, and then gradually adjust the direction of their own interests, and soon in the future, be able to find your most wanted to do big data-related work;
Third, the 30-year-old can turn big data?
I worked for many years in traditional information enterprises, factories and other manufacturing units, several large age of 30, can switch to bigger data related to jobs?
To address this issue, I have four suggestions.
First, we have the determination . To ask whether we can make big data work as their own the next 10 years, 20 years or even a lifetime want to do the work, if it is, then, even if you spent five years in the traditional industry, 7 years or 10 years, all 30 the age of a few large, but also not too late now to change jobs;
第二点，要有信心。你是否已经习惯于企事业单位那种清闲的日子，你是否一直在传统如制造业工作，习惯于日复一日的按部就班的做好日常工作？相信你一定不是，要不就不会在这里听我分享了。来这里证明你还是有一颗骚动的心的。
那么，好，你一定也可以转行做大数据，只要你想。拿制造业来说，虽然现在有智能制造概念，对制造行业会是一个机会，但对个人来说，传统行业工作的升值空间还是非常有限，何况大数据代表着一种高科技术，掌握了大数据就掌握了未来制高点，智能制造也是要靠大数据来支撑，你决定转行做大数据相关工作，我认为还是比较正确的，大数据目前正处于快速成长期，并且，至少未来十年都不会衰落，对人才的需求量非常大，薪资水平就目前来说在所有行业中排在非常靠前的位置。
第三点，要有恒心。大数据是一项技术领域的工作，需要掌握的技术非常多，你是否有恒心不怕苦、不怕挫折的去学习，把自己欠缺的基础完整的补回来，比如做大数据开发需要你去学习JAVA基础编程、SQL数据库、Hadoop生态组件等等；只要你肯学，没有什么学不会的。
第四点，要有慧心。想办法找到最适合自己的切入点，找到通往大数据职业生涯的一条捷径。关于这一点，上面一个问题已有论述，在此就不再赘述了。
只要大家有决心、有信心、有恒心，有慧心，相信大家是一定可以转行大数据成功的，退一万步，就算你没想转行，或者最后因为各方面的原因没有转行成功，你掌握或者了解多一门流行的热门的大数据技术，对你的职业发展肯定只会有好处不会有坏处的。