Today is also known as the era of big data. More and more people can not leave the Internet and cell phones, it can be imagined that the development direction of big data has a promising future, and in the future big data will become the cornerstone of the development of the whole society and the whole industry. As the interface between big data and artificial intelligence, Internet of Things, cloud computing is getting closer and closer, and, as big data is interfacing with various industries, its application will gradually expand to all aspects of urban construction, industrial manufacturing, agriculture, tourism, etc., and the number of jobs will continue to increase in the future. So he has a wide range of employment directions and good employment prospects.

Big Data Learning Stages

Stage 1, mainly to learn the basics of big data, mainly Java basics and Linux basics.

The main programming language of big data is Java, and the main development and operation in the Linux environment to complete, so these two foundations must be. Java foundation is mainly in Java SE, database, need to pay extra attention to, and Linux, mastering the basic system commands can be slowly on the class, and more and more proficiency will be used.

Stage two, is the learning of big data technology component framework, this part is also the focus.

Big data technology system is complex, the basic technology covers data collection, data preprocessing, distributed storage, NOSQL database, multi-modal computing (batch processing, online processing, real-time streaming processing, memory processing), multi-modal computing (image, text, video, audio), data warehousing, data mining, machine learning, artificial intelligence, deep learning, parallel computing, visualization and so on. various technology categories and different dimensions.

But from the perspective of enterprise applications, mainly based on open source frameworks to develop applications more, so it is the mainstream big data technology frameworks for learning, including Hadoop, Spark, Storm, Flink and a series of frameworks and their ecosystems.

Stage three, is the project practice.

Recruitment interviews, companies will be very important in this regard, the ability to combat, based on specific needs, to complete the development, to give reasonable technical solutions.

The Internet industry is still one of the hottest industries, learning IT skills after being good enough to have the opportunity to enter the Tencent, Ali, NetEase and other Internet factories, high-paying jobs, the development prospects are very good, ordinary people can also learn.

Wanting to learn systematically, you can examine and compare the opening of the relevant professional popular schools, good schools have the ability to independently develop their own courses according to the needs of the current business, it is recommended that the field visit to compare.

Wishing you success in your studies, I hope to adopt

Beijing University Youth Bird students classroom record