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

There are many computer programming languages, most of which are Java,C++,Python and so on.

At present, most people who learn big data choose to study Java, so what is the good thing about Java? Why do you have to learn Java before you learn big data? Let's analyze it today.

Many zero-foundation students who want to learn big data know that they have to learn a computer programming language before taking part of big data's courses. Big data's development needs the foundation of programming language, because big data's development is based on some commonly used high-level languages, such as Java and .net.

Both hadoop and data mining need to have the foundation of high-level programming language. Therefore, if you want to learn big data development, you still need to be proficient in at least one high-level language.

Java is one of the most widely used network programming languages.

It not only absorbs the advantages of C++ language, but also abandons the concepts of multi-inheritance and pointers which are difficult to understand in C++, so Java language has two characteristics: powerful and easy to use.

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As the representative of static object-oriented programming language, Java language perfectly implements the object-oriented theory and allows programmers to carry out complex programming in an elegant way of thinking.

Java has many features

Java has the characteristics of simplicity, object-oriented, distributed, robust, security, platform independence and portability, multithreading, dynamic and so on.

Java has extremely high cross-platform capabilities.

Java can write desktop applications, Web applications, distributed system and embedded system applications, etc. Compared with traditional programming languages such as C, C++, Java is easier to use, and compared with Microsoft platform development languages, such as VB, MFC, etc., it has the ability to run across platforms, although Java has not been able to fully implement the original slogan of once programming and running everywhere. However, compared with other earlier programming languages, Java still has a very high cross-platform capability.

Java is a strongly typed language

Java is a strongly typed language that allows you to extend the ability to check for potential type mismatches at compile time. Java requires explicit method declarations, which do not support C-style implicit declarations. These stringent requirements ensure that the compiler can catch call errors, which leads to more reliable programs. One of the most important enhancements to reliability is Java's storage model.

Pointers are not supported to eliminate the possibility of rewriting stored and corrupted data

Java does not support pointers, which eliminates the possibility of rewriting stored and corrupted data. Similarly, Java's automatic "garbage collection" prevents storage leaks and other harmful errors related to dynamic storage allocation and de-allocation. The Java interpreter also performs many run-time checks, such as verifying that all array and string accesses are within bounds.

Exception handling of Java makes the system more stable.

Exception handling is another feature of Java that makes programs more robust. An exception is a signal of some kind of abnormal condition similar to an error. Using the try/catch/ find statement, programmers can find the error handling code, which simplifies the task of error handling and recovery.

Most importantly, Hadoop and other big data processing techniques use Java, such as Apache's Java-based HBase and Accumulo, as well as ElasticSearchas, so one of the first conditions for learning Hadoop is to master Java programming.

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