DT from the IT era to era, along with digital high quality of life, our daily dining, travel, shopping and other acts have had a huge amount of data. According to projections, by 2020, the global total amount of data to reach 44ZB, while the total amount of data there will be a large proportion of the global total to 20%.
With the rapid development of large data industry, but also had a huge talent gap, the current number of big data practitioners only the next three to five years the total market demand into three large data associated personnel has become widespread competition for the IT industry human resources. Attendant, salary big data talent is also very lucrative, high starting salaries, big gains, good benefits, the average monthly salary forefront of the industry, current industry average monthly salary history up to 30.1k.
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A lot of talent scarcity of large data current situation facing the industry, companies have spared no effort Careers, many IT practitioners concerned about the transformation of large data, but also to other industry practitioners more eager to have to consider the transformation of large data industry. Then, as the field of IT has never touched or inexperienced 0 basis who learn how to do big data?
A systematic program of big data, reinforce the technology base
Want big data transformation, content has a lot to learn, such as JavaSE, MySQL, hive, kafka, scala, ELK, flink, etc., as a zero-based learner, we recommend starting with basic java, linux to learn or start python knowledge began to learn, step by step after another. Thus, systematic curriculum in order to help learners to lay a solid foundation of technical knowledge, a solid grasp the essentials, solid basic skills in order to make positive personal development capability of the system.
Second, excellent instructors teach large data experience, advanced and efficient breakthrough
Practitioners technology enterprise real big data projects, listen to explain these lecturers, can bring effective learning, they can lead students to accurately grasp the knowledge points, to detect difficulties in learning, helping learners to quickly grasp the essentials course. This will not only learn the theory of knowledge of big data, companies can learn real project experience to help grow their breakthrough in advanced decay.
Third, the reality practical operation of the training program, the combat capability of the accumulation of large data
Big Data learning technology, not only to understand the theoretical knowledge, but also to combine theory and practice. Complete hardware conditions, the real cluster server environment, understand the real Internet traffic data, real practical operation of enterprise-level training program, such as information systems APP distributed content crawling, shopping sites and other similar items recommendation system, but also make learning excellence, fit the needs of employers in favor of industries and enterprises, but also more conducive to quick start in the future in practical work, flexible application, learned to play.
Big Data era, the rapid development of the industry is continuing, full of opportunities and development opportunities, friends who want the transformation of big data, can seize the times, seize the opportunity, it all depends on the individual effort. Start learning as soon as possible charging, self-improvement, as early as possible into the big data industry, in order to keep pace with the times.