Java, the most traditional, the most widely used programming language.
Big Data, a new era of mainstream, the future trend of development of the Internet programming language.
A lot of students had such doubts: "big data and java What is the difference which language is easier??" Programmer high class training covers the above two popular language, answering questions for everyone.
As two different technologies, Java is a computer programming language, the application rate is very wide, can be applied to all kinds of work. The data is part of a large development direction of the Internet, such as the current popular AI Artificial Intelligence, it is built on the basis of big data, make the appropriate expansion. The two are not the same category, but there is a relationship with the included included. Specifically, we can interpret it this way: java may be related to the work of big data, but the data did not have to develop applications using java.
High-end programmers to Java classes and two large data subject, for example, to learn the contents of the various stages of big data to do the following conclusion:
The first stage: Understanding Big Data theories
Big Data learning the initial stage, to understand what is big data and big data applications specific area.
The second stage: Linux systems and Hadoop ecosystem
Linux system and learn to master big data cornerstone of Hadoop, data serialization systems and technology, statistical analysis of data, distributed cluster, the popular queue, data migration, big data platform analysis.
Phase III: Storm and its ecosystem Spark
Learning Storm, Scala, Spark, Spark SQL, Spark Streaming, Spark machine learning.
The fourth stage: big data project combat
To enable trainees to complete large-scale projects with enterprise-class development capabilities, integrated use of big data analytics knowledge, complete data analysis, collection, display of the complete process.
Fifth stage: big data analytics artificial intelligence direction
Learning Python programming, data base analysis, data visualization and artificial intelligence-related projects practice, so that students understand the precise Big Data artificial intelligence direction.
Java teaching stages as follows:
The first to the third stage:
Java based learning, Java base (Object other Java-oriented, common base class, a thread of I / O, exception handling), javaWeb (HTML5, CSS3, javascript, jQuery, JDBC connection pools, the servlet, etc.), Java frame (Struts2, Hibernate5, JPA, Spring4, BootStrap, svn & git & Jenkins continuous integration, etc.).
The fourth stage:
Large data added to the large concurrent training courses, to extract the business requirements must master the skills, get rid of important skills, optimization and upgrading courses to meet market requirements, develop high-quality talent engineer.
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