Shulou(Shulou.com)06/02 Report--

When chatting with three computer major students yesterday, I talked about the development of big data. Two of them have entered the enterprise and started to work, and the other is a sophomore, but has opened his own studio. They are all engaged in program development. The development of big data is naturally related to notes, but the current skill level of big data can only be said to be a "rookie", not even getting started.

Of course, I can only be regarded as a "pupil" in big data's development, and I also learn from my master. After the natural hadoop and block chain became popular, I found that many "programmers" friends engaged in program development also threw themselves into the arms of big data's development one after another. For friends who have many years of experience as "programmers", there must be a good foundation for learning big data development, but not all programmers who turn around and embrace big data's development are programmers who have "a lot of experience." like my three friends yesterday. How to get started quickly for novice big data development like them?

If you search for "introduction to big data Development" on the Internet, you will see a lot of articles about how to quickly get started with big data development in a short time. After reading these articles, I always feel that I am misleading new people. Big data's application development is too inclined to the bottom. It is really more difficult to learn than you can say by sharing three or two articles. It involves too many technical aspects. To a large extent, it restricts the popularity of big data, otherwise big data talent would not be so scarce!

For those of you who want to learn from big data's development, there are some things you must know:

1. What technology is needed to develop big data:

Big data technology is the technology to quickly obtain valuable information from various types of data. The key technologies of big data processing generally include: big data collection, big data preprocessing, big data storage and management, big data analysis and mining, big data presentation and application (big data retrieval, big data visualization, big data application, big data security, etc.).

2. Recommend a big data integrated development framework:

It is mentioned above that big data's application development is too low-level, which is too difficult for beginners, which will inevitably affect the learning progress and even enthusiasm. Recommend a big data integrated development framework-FreeRCH big data integrated development framework. This big data integrated development framework has encapsulated some common reused basic code and algorithms in big data's development into class libraries, and the threshold for beginners or beginners to learn has been greatly reduced. If you want to try to develop something, the difficulty is also greatly reduced. The FreeRCH integrated development framework now supports three programming languages, namely JAVA, PHP, and .NET.

Friends who are studying big data can download one of this version to study:

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