How about learning Internet technology now?

There are many technical directions to choose from in the Internet industry. Before engaging in the Internet industry, you need to know your own technical interests and your own situation, choose a suitable technical direction, and then deeply study the related technologies in your chosen technical direction. Every Internet technology direction contains many underlying technologies. I mainly talk about technical learning, back-end development and machine learning algorithms of big data:

Big data related technologies

The related technologies involved in big data are mainly data correlation. How to store these data, how to reduce the calculation time through distributed computing, and how to effectively calculate these data and generate real-time indicators when the amount of data is very large.

In the technology of big data storage, we can learn the HadoopHDFS distributed file system, how to store very large data files on different machines in a distributed way, and how to meet the AP in CAP theory. In NoSQL database, you can learn HBase column database, Secondary graph database, mongodb and so on.

For offline technology, you can learn HadoopMapReduce computing framework, Hive and Spark computing framework. If you are interested in data warehouse, you can also learn the modeling knowledge related to data warehouse, how to build a model with business, and so on.

Real-time computing technology, you can learn Storm, SparkStreaming, Flink computing framework. The semantics of ExactlyOnce or AtLeastOnce in real-time computing, how to realize the calculation and storage of state, etc.

In every big data direction, there are many technologies to learn. You should not only learn the use of these technologies, but also learn the realization of their underlying principles. In the future, you can be more adaptable to the big data technology architecture.

Background development related technologies

Background development technology is more about processing front-end request logic in the background. The front-end can pass the relevant request parameters to the back-end through HTTP connection, and the back-end receives the request parameters, performs business logic processing, and then stores them in the database.

Background Development technology involves many technologies. In terms of language, you can learn Java language, C++ language and Go language, and learn the underlying principles and usage grammar of these languages.

In the aspect of database storage, we can learn the use and principle of Mysql, Redis and other databases. In the service interface development, you can learn the Dubbo service framework.

In the back-end development service layer, you can learn Sping, SpringBoot, Mybatis, Microservices and so on. There are so many technologies involved in back-end development that it takes you a long time to really master any technology.

Related technologies of machine learning algorithm

In terms of machine learning algorithms, we can learn related algorithms of machine learning, such as linear regression, K-means, SVM, decision tree, PCA and other related algorithms, how these algorithms are realized and in what scenarios. The difference between unsupervised algorithm, semi-supervised algorithm and supervised algorithm, why should we divide it like this?

When you master some basic algorithms of machine learning, you can learn some more profound algorithms, such as artificial neural network, convolutional neural network, deep learning algorithm, real-time recommendation algorithm, feature engineering and so on. The purpose of learning these algorithms is not just to learn, but to think about what problems can be solved and what benefits can be brought to the company through these algorithms.

In terms of machine learning algorithms, you can be more inclined to study, so your purpose is more to publish relevant papers, enhance your influence among scholars around the world, and pave the way for industrial practice. You can also be partial to the application of machine learning algorithm, how to solve the problems faced by the company through machine learning algorithm, so as to better bring economic benefits to the company. The technology of machine learning, you will never learn it.

abstract

Internet has many technical directions, and each technical direction has a lot of technology to learn. Before entering the Internet industry, you must choose a direction you want to pursue. The study of technology lies not in much, but in depth. When you deeply understand the underlying principles of many technologies, you will find that there are many similarities in the underlying principles of most technologies. It will be easier for you to expand your technical breadth.