The current Big Data technologies much all walks of life friends of all ages, then as a trainee 0 basis, in the end should be how to learn big data technologies, and what specifically you want to learn? I believe this is a big problem for most career change data more concerned about friends, following on from the teacher how much data subjects for everyone answering it.
- First, define their learning objectives of big data, in order to switch to the next or just casually interested in understanding the development of a goal for yourself, and strive to achieve it.
- Three lines must be my teacher, learn from others, in today's society, thinking big data, everyone has to learn the strengths of others to improve themselves.
- Younger, ample spare time friends, you can learn to make use of network resources, the Internet age, there are a variety of network teaching platform video data, information; for several years to graduate friends, if you want to switch to big data, we recommend you can choose fly a training institution of learning, so more efficient.
- Ready to operate, sink down too, if you learn big data sink down, it is recommended not to learn, a waste of time. Because it requires a lot of patience to deal with, data, need to think constantly analyze, as long as the house in order to better solve the problem.
So much data in the end to learn what Le?
For at 0 basis friend a get started may not be too simple, mastering big data technology needs to start JAVA language to start, then when learning JAVA, we generally need to learn these lessons: HTML & CSS & JS, development infrastructure of JAVA, JDBC and database , JSP, JAVAweb, enterprises common framework across three SSH, etc. ...
so mastered the language JAVA is too big and then enter data much easier to learn, to learn the main big data Hadoop, Mapreduce, database Hbase and Hive, data analysis Spark, Real-time data acquisition Kafka, Flume, Storm and other technology, I believe we mastered these techniques point into the big data business is you do not have any problems.
Standing wave of large data outlet not start? How to see the big data opportunity to seize know? 0 worried about their big data base not learn? We know big data talent gap large do not know how their achievements? As a young man a new era, in fact, we understand the gap in the industry, but it is precisely the lack of courage and methods of learning began. Hopefully, the above described can help you.
