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Late last year, in a move that shocked the big Data world, Alibaba bought Data Artisans, the Berlin-based startup behind Flink, for 90 million euros.
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In the Hadoop ecosystem, Flink is a newer engine than Spark. No doubt you know Spark, the new data-processing engine that has replaced MapReduce. But what you may not know is that Spark has been completely replaced by Flink internally. Of course, now I’m telling you.
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So if you only learn Hadoop and Spark, but don’t learn Flink, you will soon be left behind in the big data wave. In the field of big data, a large number of people learned from the Hadoop-Spark route, and now add Flink. But it’s not the most scientific way. Why?
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Because most of the current textbooks focus on API, the school does not have a good understanding of the underlying principles used by big data. Just knowing the API is not enough when Hadoop and Spark versions change too much, the API changes, or the framework becomes obsolete and replaced by another framework, as Spark is now gradually being replaced by Flink.
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However, the underlying principle of the framework, which is most easily ignored by us, is not well understood and mastered by many engineers who have worked for 1-3 years, so it is difficult to go further and break through the technical bottleneck. However, it is exactly the place that BAT and other first-line big factories like to inspect most during the interview.
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Today, we specially share an advanced VIP video to you, including a lot of dry goods, specific
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Hadoop basic framework principle
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1. How to maintain high performance with high concurrency?
2. What does Hadoop do?
Hadoop’s thriving ecosystem
4. Actual case of ten million daily active APP users
5. A large number of nginx logs are imported to Hive
6. 10 solutions to common problems in actual big data development
Learn architecture from Hadoop architecture
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1. How did Daniel become Daniel
2. How does HDFS implement stateful high availability architecture
3. How does HDFS solve the memory limitation problem architecturally
4. In-depth understanding of HDFS architecture evolution
5. Reveal the core source code design of HDFS that can support hundreds of millions of flows
Sanali has used Flink to serve hundreds of millions of users
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1. Why does Flink dare to become a new generation of streaming computing?
2. What high-level abstractions does Flink bring?
3. Why is Flink in VIP status?
4. Is Flink the future of big data?
5, Flink source in-depth explanation
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What will you get from this VIP video?
1. In-depth explanation of the mainstream framework of big data, not only about application, but also about the underlying source code of the framework; Establish the knowledge framework of the whole big data
2. How to deeply understand the underlying platform of big data architecture, the relationship between big data application development and platforms;
3. How to better combine the corresponding platform knowledge with application development.
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This video was designed by Lao Qi, former chief architect of JD.com, Erhai erhai, senior big data architect of Tencent, and Big D, former 58 big data director, which took two months to create 19 pure dry contents and explain them personally.
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This set of big data development advanced materials worth 1980 yuan, this time a total of 100 free registration VIP video rights (after the excess need to pay to watch), the opportunity is rare, friends need to scan the qr code below to add a small assistant to register.
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Long press scan code to add wechat
100Free registration permission
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Ps: The little assistant will manually send information to everyone. The energy is limited, so only the top 100 can get it for free. This information will be an indispensable valuable information for those who want to improve their big data skills.
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Special thanks to fei Zong part of the original support