GV

GeezerVison

The World Wide Web, restored to 800 pixels of glory.

Home|About|Gaming cabinet|Archives|How it works|Starter sites

On this site

  • Sign in
  • ActionsCI/CD and automation
  • CodespacesCloud development environments
  • All Features
  • Documentation
  • Training
  • Certifications
  • Build with Copilot
  • Customize Copilot
  • Integrations
  • Trending repos
  • GitHub Sponsors
  • Developer articles
  • Enterprises

This view

  • Original page
  • New address

GeezerVison is showing github.com — GitHub - longtimer/bigdata-learning: 大数据学习记录

BranchesTags
Open more actions menu
 
 

Latest commit

 

History

47 Commits
47 Commits

Folders and files

NameName
Last commit message
Last commit date
flink-learning
flink-learning
 
 
flume-learning
flume-learning
 
 
hadoop-learning
hadoop-learning
 
 
hbase-learning
hbase-learning
 
 
hive-learning
hive-learning
 
 
kafka-learning
kafka-learning
 
 
spark-learning
spark-learning
 
 
spark-learning1
spark-learning1
 
 
zookeeper-learning
zookeeper-learning
 
 
.gitignore
.gitignore
 
 
README.md
README.md
 
 

Repository files navigation

bigdata-learning

简介

我的自学大数据记录,把该仓库当存储库。

大家有什么好的学习资源,或者我有什么不足,问题之类的都可以和我交流,一起进步。

模块

模块名 简介 推荐指数
flink-learning flink基础学习(尚硅谷) ★★★★★
flume-learning flume基础学习(尚硅谷) ★★★★★
hadoop-learning hadoop基础学习(尚硅谷) ★★★★★
hbase-learning hbase基础学习(尚硅谷) ★★★★★
hive-learning hive基础学习(尚硅谷) ★★★★☆
kafka-learning kafka基础学习(尚硅谷) ★★★★☆
spark-learning spark基础学习(尚硅谷) ★★★★★
spark-learning1 《Spark大数据商业实战三部曲》学习 ★★★★
zookeeper-learning zookeeper基础学习(尚硅谷) ★★★★☆

下载

只下载想要的子文件夹即可,下面是一种简单下载方法:

  1. 进入网页
  2. 输入该模块url,如https://github.com/Zouxxyy/bigdata-learning/tree/master/hadoop-learning
  3. Download

展望

暂时结束,学完大概需要1-2个月左右,达到大数据入门水平。

但只是开始,未来需加深Java基础,以及大数据实际项目和框架源码学习。

About

大数据学习记录

Resources

Readme
Activity

Stars

0 stars

Watchers

0 watching

Forks

0 forks
Report repository

Releases

Packages

Contributors

Languages

You are visitor 01402520 — GeezerVison does not store the pages you look up.
Best viewed with Netscape Navigator 4.7 or Internet Explorer 6 at 800×600. No cookies required.