At this time, a scientific study plan can help us a lot.
Many friends want to know what beginners must learn first when learning big data. This article will talk in detail about what beginners must learn first when learning big data. This topic will answer your question.
1: As far as data analysis learning is concerned, the required skill module is statistical basis+database knowledge+programming ability.
The study and mastery of basic skills runs through the whole learning process, during which hands-on practice needs to be completed with the help of small projects.
Learning big data is a process of building a good framework system, accumulating knowledge, hacking skills and improving the level of analysis.
Gansu Computer School/Suggestion: Learn basic statistics first, then database knowledge, and finally learn programming languages.
2. As you already know, let's talk about what technologies a qualified big data engineer needs to master.
If you want to become a big data engineer recognized by enterprises, you need to know the installation, performance optimization and error diagnosis of big data systems such as Hadoop, HDFS, Hive, Kafka, Spark and Storm. Familiar with automatic configuration management tools such as ansible and puppet.
3. In addition to the above technologies, big data engineers also need to master the configuration and optimization of Linux system environment, skillfully deploy various application services, and handle system failures independently; Master at least one scripting language such as shell/python/perl; Proficient in monitoring tools such as Zabbix, Nagios and Ganglia.