What courses for big data majors
1, Java language foundation courses
JAVA as a programming language, the use of which is very wide, big data development is mainly based on JAVA, as the development of big data applications is very suitable for the development of the language.Java language foundation includes introduction to Java development, Java language fundamentals, Eclipse development tools and other courses.
2, HTML, CSS and Java courses
Website page layout, HTML5 + CSS3 basics, jQuery applications, Ajax asynchronous interaction and other courses.
3, Linux system and Hadoop ecosystem courses
The framework of big data development is built on top of the Linux system, so be familiar with the Linux development environment. And Hadoop is a big data infrastructure, it can build a large data warehouse, PB level data storage, processing, analysis, statistics and other business. You also need to understand data migration tools Sqoop, Flume distributed logging framework and other courses.
4, distributed computing framework and SparkStrom ecosystem courses
After a certain foundation, you need to learn Spark big data processing technology, Mlib machine learning, GraphX graph computing and Strom technology architecture fundamentals and principles, etc. Spark in terms of performance or unity of the program has a tremendous superiority for comprehensive processing of big data: real-time data stream processing, batch processing, and interactive querying, among other courses.
5. Other courses
Data collection courses: distributed message queue Kafka, non-relational data collection system Flume, relational data collection tools Sqoop and Canel;
Big data technology courses: Spark, Storm, Hadoop, Flink, etc.;
Data storage Courses: distributed file system and distributed database, data storage format;
Resource management and service coordination courses: YARN, ZooKeeper.
Learning big data to have what ability
1, learning big data to have computer programming capabilities. Big data technology is built on the Internet, so having programming skills is of great benefit.
2, learn big data to have some math skills is very critical, learning computers need very strong logical thinking ability, but math is the basis of logical ability, knowledge of math courses is very critical.
3, learning big data need to have a certain English course foundation, because big data knowledge is mainly in English, a variety of code expressed in English. Therefore, it is very important to have some English skills.
4, learning big data language skills is very important, no matter what you learn needs to be expressed in fluent words. The ultimate goal of big data is not to obtain a large amount of data, but to analyze these numbers out accurately.
5, learning big data also need to have rational and objective thinking, so that for analyzing data and learning related course knowledge has a great advantage.