How does the Java Foundation learn big data?

Have you ever thought of a problem, many computer programming languages, common programming languages have Java,python and so on, before beginning to learn big data will choose to learn Java, that Java is good? Why learn Java before you start learning Big data?

Big data talents are increasingly favored by society and enterprises, many want to learn big data in the beginning of the new people will feel that they are learning big data, but really began to learn big data, but found that the first is the Java learning, learn big data before the first to learn Java? Big Data and Java actually have an inseparable relationship.

0 Basic contact with Big data students are aware that before you learn big data courses, you need to familiarize yourself with a computer programming language first. Be aware that big data development requires a programming language as a basis, because the development of big data is based on some common high-level languages. Many of the frameworks in big data are based on the Java language, which can be said that Java is the core of big data, Java language as an object-oriented, easy to operate. Both Hadoop and data mining require the foundation of a high-level programming language. Therefore, if you want to learn big data development, you need to be proficient in at least one high-level language.

According to statistical statistics, the company's demand for Java Big Data talent is also increasing, for those who have a certain Java foundation, it is easier to enter the big data industry, there is a Java Foundation has a benefit is relatively easy to transfer to other industries, such as the current popular AI industry. In general, before learning big data, people tend to start with Java learning first. In addition, the Java language, as the representative of static object-oriented programming language, implements the object-oriented theory very well, allowing programmers to make complex programming in an elegant way of thinking.

Java can write desktop applications, Java is easier to get started, Java as the earliest programming language still has a very high cross-platform capabilities. Exception handling is another feature in Java that makes the program more robust. Programmers can find error handling code, which simplifies the task of error handling and recovery. Most importantly, Hadoop and other big data processing technologies are mostly Java, so one of the first things to learn about Hadoop is to master the Java language programming.

Beginners remember not to blindly learn, suggesting that Java and big data should be learned, after all, the Hadoop yarn and HDFs in Spark is also used, and the idea of MapReduce and classic design in other frameworks will be used. And Spark is now in the industry is relatively hot, employment or something is also quite good. Big Data Learning data sharing group 119599574 Whether you are small white or Daniel, I am very welcome, do not regularly share dry goods, including my own to organize a new big data for the 2018 study development and 0 basic Introductory tutorial, welcome beginner and advanced small partners.

How does the Java Foundation learn big data?