For 28 this age, is not very good evaluation, said young, not young, said the age of big, not big. Overall, it is an awkward age that is not up or down. A lot of friends around 28 years old want to learn big data, but worry about 28 years old to learn big data can learn such a problem. Beijing Changping IT training on the talk, 28 years old to learn big data can learn, this problem, to solve the problem of everyone's heart.

1: To learn big data you should at least know what is big data, big data is generally used in what field. Have a general understanding of big data, you can be clear about whether you are interested in big data or not. To become a qualified big data engineer, you need to be familiar with big data-related technologies, including Hadoop/Hive/HBase/Kafka/Flume, etc.; master Hadoop and Hive, and have MapReduce programming experience.

2: In addition, big data engineers also need to be proficient in Java/Scala at least one of them, and at least one scripting language, such as Python/Shell; proficiency in Spring, Ibatis, caching, messaging, and other mainstream JAVA frameworks and principles; a solid foundation in Java, proficiency in the jvm mechanism, multi-threading, Commonly used containers, reflection and other basic knowledge and so on.

3: 28-year-old learn big data can learn? Although the above knowledge seems to be a lot, but we do not have to worry about learning or learning to be very hard. If you attend a professional training course, you can still save time and effort to learn.