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2025-02-27 Update From: SLTechnology News&Howtos shulou NAV: SLTechnology News&Howtos > Internet Technology >
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From the IT era to the DT era, with the digital high-quality life, our daily catering, travel, shopping and other behaviors have produced a huge amount of data. According to the forecast, in 2020, the total amount of global data will reach 44ZB, while China's total big data will account for 20% of the global total.
With the rapid development of big data industry, there is also a huge talent gap. At present, the number of big data practitioners only accounts for 30% of the total market demand in the next three to five years. Big data-related talents have become a common talent resource in the IT industry. Subsequently, the salary and treatment of big data talents is also very generous, with a high starting salary, a large increase and good benefits, and the average monthly salary is in the forefront of the industry. At present, the average monthly salary in the industry is as high as 30.1k.
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Big data industry is facing the current situation of a large number of talent scarcity, enterprises have spared no effort to recruit talents, many IT practitioners pay attention to the transformation of big data, but also make more practitioners in other industries eager to try, have considered the transformation of big data industry. So, as a basic person who has never come into contact with the field of IT or has little experience, how to learn from big data?
First, systematic big data curriculum to consolidate the technical foundation
If you want to transform big data, you need to learn a lot, such as JavaSE, MySQL, hive, kafka, scala, ELK, flink and so on. As a zero-foundation learner, you should start with basic java and linux, or start with python knowledge, and then proceed step by step. In this way, the systematic curriculum can help learners consolidate the basic technical knowledge, firmly master the essentials, and solid basic skills can make the positive development of the personal ability system.
Second, excellent mentors impart big data's experience and break through the advanced level efficiently.
The enterprise's real big data project skills, listening to the explanations of these lecturers, can bring efficient learning, they can lead students to accurately grasp knowledge points, find difficulties in learning in time, and help learners quickly understand the main points of the course. This can not only learn the relevant theoretical knowledge of big data, but also learn the real project experience of the enterprise, so as to help oneself break through the advanced transformation and growth.
Third, the actual practice project training, accumulates big data's actual combat ability
To learn big data's technology, we should not only understand theoretical knowledge, but also combine theory with practice. Complete hardware conditions, real cluster server environment, understanding of real Internet traffic data, practical operation of real enterprise-level training projects, such as information APP distributed content crawling system, shopping website similar item recommendation system, etc., can better improve learning, help to meet the employment needs of enterprises in the industry, and is also more conducive to getting started quickly in practical work in the future, flexible application, and give full play to what you have learned.
In the era of big data, the industry is developing at a high speed, full of opportunities and development opportunities. Whether friends who want to transform big data can seize the times and opportunities depends on individual efforts. Start learning to recharge as soon as possible, improve yourself, and enter the big data industry as soon as possible in order to keep up with the pace of the times.
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