Shulou(Shulou.com)06/03 Report--

The highlight of the column

The network is the first to use the latest version of Flink 1.9 for content explanation (this version is updated greatly, and the architecture functions are updated), leading the teaching course of Flink 1.7, which is common on the market at present.

Contains a large number of practical cases and code to explain the principle, help readers to learn while tapping the code, to achieve a faster, more profound learning realm. At present, the books on the market do not have any practical content, or just explain pure concepts and translation official website.

In the advanced column, we provide a way of thinking about troubleshooting and solving common project problems in Flink, and explore why such problems occur through these questions.

In the actual combat and case section, the classic needs of large factory companies are analyzed, including architecture design, operation of each link, and code implementation.

Why learn Flink?

With the continuous development of big data, the demand for the timeliness of data is getting higher and higher, and the demand for real-time scenes is becoming more and more, which is mainly divided into the following categories:

In order to meet the needs of these real-time scenarios, many computing engine frameworks are derived. The comparison of the existing big data computing engines on the market is shown in the following figure:

It can be found that Flink is leading in terms of its architectural design, functional integrity and ease of use, and Flink is the computing engine framework promoted by Alibaba, so it has become more and more popular since last year!

At present, Alibaba, Tencent, Meituan, Huawei, DiDi, Ctrip, ele.me, iqiyi, Youzan, VIPSHOP and other big companies have put Flink into practice in the company's large-scale projects, bringing a wave of Flink trend, which is bound to make the Flink talent market produce recruitment phenomenon that supply exceeds demand.

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