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If you want to learn big data, you mainly look at the teacher and the course, the teacher is the best in a large enterprise, and the things he teaches are the latest, and new technologies like this are used first; Another is to see whether the course is complete, including all general technical points, especially new technologies such as flink, etc., and the most important thing, look at the project: quantity and quality, this is the key to passing the interview, many people can learn by themselves, the project needs the teacher to build an environment, it can be said that the project is the core of the training.
Compare a few more and pay attention to identifying pitfalls, such as most institutions have only one project, or the total class time is only 100 hours, etc.
This industry is booming and needs a lot of talents, I wish you an early entry into the big data industry.
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Big data refers to the collection of data that cannot be captured, managed, and processed by conventional software tools within a certain time frame, and is a massive, high-growth and diversified information asset that requires new processing modes to have stronger decision-making, insight and process optimization capabilities. The 5V characteristics of big data (proposed by IBM): Volume (mass), Velocity (high-speed), Variety (variety), Value (low value density), Veracity (authenticity), and the platform has Hadoop
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1. Big data is now a mainstream course, and many people learn it. The training there is also very good.
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Learning big data requires a certain foundation, and you need to pass exams and interviews. If it is a full-time study, it will take more than 2 months and a week.
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Judging from the discovery scenario, big data must be a hot topic in the next 10 years. At the heart of any system, any company, is data. Hadoop is popular now, in-memory computing, in-memory data grid, etc., and there will be more concepts and technologies in the future, but the essence is to serve big data.
The soaring data TB, PB, EB, ZB, and YB will give birth to a series of new technologies and industries. For technicians, data scientists, the new data scientists, will be the most promising careers.
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Big data courses are very difficult to learn, but this is a general direction in the current network information age, no matter what business you do, you need big data to macro-control, so big data will appear in all corners of life, a very high-end course, learning will definitely help development. So it is advisable to go and learn.
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The main thing is to practice, it's okay.
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1. There are many big data training courses in Beijing, it is recommended that you go to Qianfeng to see, the students are selected to enter, and the courses meet the actual needs of enterprises.
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Big data employment is very good, and now there are more companies with high salaries recruiting, but big data talents are scarce, how about big data training courses, I know that the big data courses of Gubao College are very good!
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Huangji Jingshi original text**, 76 - Orthodox Daozang Taixuanbu - Huangji Jingshi - Song - Shao Yong.