A full set of big data self-study tutorials, free to share, hurry up! (Pure dry goods series)

Big data is very popular now, not only with national policy support, but also with the temptation of high salaries from companies, many students have the intention to switch to big data. But what troubles many people is that they don’t know how to start learning. I feel that what I find on the Internet is very fragmented, and there is no very systematic learning method.
Therefore, this article is full of dry goods for everyone! Including how Xiaobai started to learn big data, as well as the junior high school advanced course of big data, just code it quickly, if you think it is good, remember to give me a thumbs up (source of update)!

Big data learning roadmap
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Finished the tutorial of the ability to
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learn

Elementary Course

0Basic big data tutorials that novices can learn

Big data self-study collection 15 days entry javaSE

Scala tutorial for big data

Big data foundation-the most comprehensive Hadoop introductory tutorial in history

Quickly build a BI business big data analysis platform from scratch in 3 days

Big data Azkaban tutorial丨Realize enterprise-level automation task development

Big Data Flume Tutorial丨Big Data Business and Data Collection and Migration Requirements

Intermediate to advanced course

2020 dark horse programmers big data self-study tutorial Spark from zero to proficient full version

Big data self-study boutique tutorial Flink from entry to master

Big data basic tutorial Xiaobai quickly grasps the use of Nifi from shallow to deep

Big Data Foundation丨Xiaobai quickly masters CDH installation and deployment

Cloud computing big data series of tutorials p1 Linux foundation enhancement

[P2 ZooKeeper tutorial of cloud computing big data series tutorial]

P3 big data analysis actual combat of cloud computing big data series tutorial

Cloud computing big data series of tutorials p4 Hadoop tutorial in simple language

P5 Hive tutorial of cloud computing big data series tutorial

There will be more time later

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Origin blog.csdn.net/JACK_SUJAVA/article/details/109117955