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Zhaotong java Training School tells you what is the development prospect of java big data?
Java is one of the most popular programming languages at present, ranking first in the hottest programming list all the year round. The first language that many people learn is Java. Java has its own advantages. It is powerful, accurate, with irreplaceable performance and maintainability. Can be said to be one of the most powerful languages.

It can be predicted that 10 will be the era of big data and artificial intelligence, when a large number of enterprises will need to rely on big data, and the biggest advantage of Java is its position in the field of big data. At present, almost all big data architectures are completed by Java. I believe that in the next 10 year, big data will become more and more popular, and the demand for high-end Java talents will increase. And big data is undoubtedly the hottest direction in these two years. Students who study Java big data can get a place in traditional Java work.

First, the market demand is large.

Based on industry trends, large and small Internet companies are laying out big data. At present, talents in big data are still in short supply. For example, the Scala engineers needed by the big data ecosystem Spark are rare in the recruitment market. Based on the close relationship between technologies such as Java and Scala, these companies that are in urgent need of big data engineers will turn to recruiting Java engineers with good foundation and train them in the direction of big data.

Whether the recruitment demand returns to large enterprises or these trends from new fields, the demand of Java in the recruitment market has greatly increased.

Second, the employment direction is wide.

Examples of major work of Java Big Data after graduation are as follows:

1, big data development engineer: basic big data service platform, large and medium-sized commercial applications include what we often call enterprise-level applications (mainly software systems of complex large enterprises), various websites, etc. Responsible for building a big data application platform and developing analytical applications.

2. Big data analyst: responsible for data mining, using Hive, Hbase and other technologies, specializing in industry data collection, collation and analysis, and making industry research, evaluation and prediction based on the data. And through the use of Spotifre, Qlikview, Tableau and other new data visualization tools, data visualization and data presentation.

3.Android engineer: Android is a free open source operating system based on Linux, and the source code is Java. So the mobile phone systems seen in the market, such as MIUI, Alibaba Cloud, Le Frog and so on. , are redistributed by modifying the source code. Java course/discovering that Java does Android not only refers to the system, but also includes the APP. For more developers, they spend more time developing applications.