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How to Self-study Big Data Self-study Big Data Method
1, the first stage: I mainly study the basics of java, but I can't find a job after studying, because all I have learned is the basics, and I need further efforts. If you are a java programmer, you can skip it!

2. The second stage: I mainly study javaweb, but I can't find a job after learning it, because most of these people can learn it at once, but they can't meet the working standards. What you need is to continue studying!

3, the third stage: mainly study the three major frameworks of java, SSM framework. To be honest, after learning this framework, you can only simply find a job of five or six thousand, and most college students will do it!

4. The fourth stage: At this stage, you will really get in touch with big data, learn the knowledge of big data, and independently develop a crawler system and a search system to complete the collection, storage, calculation and commercial application of real-time data. The salary for finding a job will be between 8 thousand and 10 thousand

5. The fifth stage: Hadoop knowledge closely related to big data, people who can be competent for offline related work after learning, including ETL engineers, task scheduling engineers, Hive engineers, data warehouse engineers, etc. Find a job for tens of thousands of minutes!

6. Stage 6: Learn spark and be competent for Spark-related work, including ETL engineer, Spark engineer, Hbase engineer, user portrait system engineer and big data anti-fraud engineer. At present, enterprises are in urgent need of spark-related talents. You can get 15 thousand's salary after studying!

7. The seventh stage: machine learning, artificial intelligence, which is the most scarce talent in today's enterprises, can be competent for machine learning, data mining and other related work after completing this stage, including recommending algorithm engineer, data mining engineers and machine learning engineers to fill the gap of rapid talent growth in the field of artificial intelligence.