Shulou(Shulou.com)06/03 Report--

Big data has become a trend of development, and training and learning of big data have emerged as the times require. However, there are different opinions on what big data specifically learns:

So what knowledge should be mastered in big data learning? The author summarizes the following according to his own experience:

Learning should be determined according to their own situation, if you are zero-based, then you must first learn from the basic java (big data supports many development languages, but the most used by enterprises is JAVA), then learn data structure, linux system operation, relational database, after consolidating the foundation, and then enter the big data learning, specifically according to the following system:

the first phase

CORE JAVA (plus ** needs to be mastered, others need to be mastered)

Java Basics **

Data Types, Operators, Loops, Algorithms, Sequential Structures Programming, Program Structures, Arrays and Multidimensional Arrays

Object Oriented **

Construction methods, control symbols, encapsulation

Succession **

Polymorphism **

Abstract classes, interfaces **

common classes

Collection, list**

HashSet、TreeSet、Collection

Collections Map**

exception, File

File/Stream **

Data flow and object flow **

Thread (understand)

Network communication (just understand)

the second phase

data structure

relational database

Linux operating system

Linux operating system overview, install Linux operating system, graphical interface operation foundation, Linux character interface foundation, character interface operation advanced, user, group and permission management, file system management, package management and system backup, Linux network configuration

(Mainly master the theoretical foundation of Linux operating system and practical knowledge of server configuration, and at the same time focus on cultivating hands-on ability through a large number of experiments. Learn about the Linux operating system's importance in the industry and its wide range of uses. On the basis of learning Linux, deepen the understanding of server operating system and practice configuration ability. Deepen the understanding of basic knowledge of computer networks and apply them in practice. Master Linux operating system installation, command line operations, user management, disk management, file system management, package management, process management, system monitoring, and system troubleshooting. Master Linux operating system network configuration, DNS, DHCP, HTTP, FTP, SMTP and POP3 service configuration and management. It lays a solid foundation for further learning other network operating systems and software system development. At the same time, if you have time to learn javaweb and frameworks, it will make your big data learning more free.)

Focus on:

common algorithms

Database table design, SQL statements, Linux common commands

the third stage

Hadoop phase

Offline analysis phase

real-time computation phase

Focus on:

Hadoop Foundation, HDFS, MapReduce, Distributed Cluster, Hive, Hbase, Sqoop

Pig, Storm real-time data processing platform, Spark platform

The above is the learning stage summarized by the author. It is suggested that everyone who wants to learn big data should follow this learning stage step by step. Usually, they can also pay attention to WeChat service numbers such as "big data cn" and "big data learning center," constantly improve their knowledge structure, improve their theoretical knowledge, then find a suitable project, follow the team to do the project, accumulate their own experience, and believe that they will show themselves on the stage of big data. Good!

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