# The-King-Of-BigData

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<div>  <h3 align="center">King</h3>  </div>

## 文章目录

> 以下列出的是作者对原创或非原创的一些文章和一些学习资源做了一个汇总，会持续更新！如果帮到了您，请点个star支持一下，谢谢！



### 🍧Linux

1. [[娱乐]14个简单、有趣、好玩的Linux命令](https://github.com/BigDataScholar/TheKingOfBigData/blob/master/note/linux/%5B%E5%A8%B1%E4%B9%90%5D14%E4%B8%AA%E7%AE%80%E5%8D%95%E3%80%81%E6%9C%89%E8%B6%A3%E3%80%81%E5%A5%BD%E7%8E%A9%E7%9A%84Linux%E5%91%BD%E4%BB%A4.md)



### 🍨Shell

1. [Shell进阶必会的几个工具，你都掌握了吗(附真实企业面试题)](https://github.com/BigDataScholar/TheKingOfBigData/blob/master/note/shell/Shell%E8%BF%9B%E9%98%B6%E5%BF%85%E4%BC%9A%E7%9A%84%E5%87%A0%E4%B8%AA%E5%B7%A5%E5%85%B7%EF%BC%8C%E4%BD%A0%E9%83%BD%E6%8E%8C%E6%8F%A1%E4%BA%86%E5%90%97(%E9%99%84%E7%9C%9F%E5%AE%9E%E4%BC%81%E4%B8%9A%E9%9D%A2%E8%AF%95%E9%A2%98).md)
2. [零基础小白如何入门Shell，快来看看(收藏)这篇大总结](https://github.com/BigDataScholar/TheKingOfBigData/blob/master/note/shell/%E9%9B%B6%E5%9F%BA%E7%A1%80%E5%B0%8F%E7%99%BD%E5%A6%82%E4%BD%95%E5%85%A5%E9%97%A8Shell%EF%BC%8C%E5%BF%AB%E6%9D%A5%E7%9C%8B%E7%9C%8B(%E6%94%B6%E8%97%8F)%E8%BF%99%E7%AF%87%E5%A4%A7%E6%80%BB%E7%BB%93.md)



### 🍩Hadoop

1. [你有想过，如何用Hadoop实现"倒排索引"](https://github.com/BigDataScholar/TheKingOfBigData/blob/master/note/hadoop/%E4%BD%A0%E6%9C%89%E6%83%B3%E8%BF%87%EF%BC%8C%E5%A6%82%E4%BD%95%E7%94%A8Hadoop%E5%AE%9E%E7%8E%B0%5B%E5%80%92%E6%8E%92%E7%B4%A2%E5%BC%95%5D.md)
2. [[干货]HDFS常用的40个命令](https://github.com/BigDataScholar/TheKingOfBigData/blob/master/note/hadoop/%5B%E5%B9%B2%E8%B4%A7%5DHDFS%E5%B8%B8%E7%94%A8%E7%9A%8440%E4%B8%AA%E5%91%BD%E4%BB%A4.md)
3. [[史上最全]Hadoop 核心 - HDFS 分布式文件系统详解(上万字建议收藏)](https://mp.weixin.qq.com/s?__biz=MzIzNjM2MDEyNQ==&mid=2247490366&idx=1&sn=e0251d3df1e773558cdd541a268aef3c&chksm=e8d843ecdfafcafa2b58994ab831b7cb5d9140935e981013fca2c41e439dc6f48f034a80383e&token=461102880&lang=zh_CN#rd)
4. [[前方高能] HDFS 的架构，你吃透了吗？](https://github.com/BigDataScholar/TheKingOfBigData/blob/master/note/hadoop/%5B%E5%89%8D%E6%96%B9%E9%AB%98%E8%83%BD%5D%20HDFS%20%E7%9A%84%E6%9E%B6%E6%9E%84%EF%BC%8C%E4%BD%A0%E5%90%83%E9%80%8F%E4%BA%86%E5%90%97%EF%BC%9F.md)

5. [[干货]HDFS是怎么做文件管理和容错的？](https://github.com/BigDataScholar/TheKingOfBigData/blob/master/note/hadoop/%5B%E5%B9%B2%E8%B4%A7%5DHDFS%E6%98%AF%E6%80%8E%E4%B9%88%E5%81%9A%E6%96%87%E4%BB%B6%E7%AE%A1%E7%90%86%E5%92%8C%E5%AE%B9%E9%94%99%E7%9A%84%EF%BC%9F.md)
6. [MapReduce 的核心知识点，你都 get 到了吗 ?（干货文章，建议收藏！）](https://github.com/BigDataScholar/TheKingOfBigData/blob/master/note/hadoop/MapReduce%20%E7%9A%84%E6%A0%B8%E5%BF%83%E7%9F%A5%E8%AF%86%E7%82%B9%EF%BC%8C%E4%BD%A0%E9%83%BD%20get%20%E5%88%B0%E4%BA%86%E5%90%97%20_%EF%BC%88%E5%B9%B2%E8%B4%A7%E6%96%87%E7%AB%A0%EF%BC%8C%E5%BB%BA%E8%AE%AE%E6%94%B6%E8%97%8F%EF%BC%81%EF%BC%89.md) 

### 🍰Hive

1. [Hive查询的18种方式，你都学会了吗](https://github.com/BigDataScholar/TheKingOfBigData/blob/master/note/hive/Hive%E6%9F%A5%E8%AF%A2%E7%9A%8418%E7%A7%8D%E6%96%B9%E5%BC%8F%EF%BC%8C%E4%BD%A0%E9%83%BD%E5%AD%A6%E4%BC%9A%E4%BA%86%E5%90%97.md)
2. [[干货]关于Hive命令的7个小技巧](https://github.com/BigDataScholar/TheKingOfBigData/blob/master/note/hive/%5B%E5%B9%B2%E8%B4%A7%5D%E5%85%B3%E4%BA%8EHive%E5%91%BD%E4%BB%A4%E7%9A%847%E4%B8%AA%E5%B0%8F%E6%8A%80%E5%B7%A7.md)
3. [硬刚Hive | 4万字基础调优面试小总结](https://mp.weixin.qq.com/s?__biz=MzIzNjM2MDEyNQ==&mid=2247496350&idx=1&sn=1388a9267dd14362b36f8c1c9994204f&chksm=e8dbaa4cdfac235a261e9ed620879a0e703c5b3eac6e7a0b1b6f3129f3378fe208491764f25e&token=1693301572&lang=zh_CN#rd)
4. [教你用Hive/Spark实现图谱计算](https://mp.weixin.qq.com/s?__biz=MzIzNjM2MDEyNQ==&mid=2247496298&idx=1&sn=ed17a5d93b096405c386cd3faf5854a7&chksm=e8dbaab8dfac23ae13ce6293d3f0837f519bb4595ac0a746481da36797d197debebdabed4248&token=1693301572&lang=zh_CN#rd)
5. [Hive窗口函数保姆级教程](https://mp.weixin.qq.com/s?__biz=Mzk0MTI0OTI1NA==&mid=2247497058&idx=1&sn=d63d260c0c5d8172530843f9542fe70d&chksm=c2d7f2ebf5a07bfd0a6a5c5decf9d2efa32e6d345699832a4db8cf101ae89dc24b6e0894dd27&token=2075738930&lang=zh_CN#rd)

### 🧁Spark
1. [关于Spark的面试题，你应该知道这些！](https://github.com/BigDataScholar/TheKingOfBigData/blob/master/note/spark/%E5%85%B3%E4%BA%8ESpark%E7%9A%84%E9%9D%A2%E8%AF%95%E9%A2%98%EF%BC%8C%E4%BD%A0%E5%BA%94%E8%AF%A5%E7%9F%A5%E9%81%93%E8%BF%99%E4%BA%9B%EF%BC%81.md)
2. [Spark基础能力测试题](https://github.com/BigDataScholar/TheKingOfBigData/blob/master/note/spark/Spark%E5%9F%BA%E7%A1%80%E8%83%BD%E5%8A%9B%E6%B5%8B%E8%AF%95%E9%A2%98.md)
3. [SparkSQL基础测试题](https://github.com/BigDataScholar/TheKingOfBigData/blob/master/note/spark/SparkSQL%E5%9F%BA%E7%A1%80%E6%B5%8B%E8%AF%95%E9%A2%98.md)
4. [不会这20个Spark热门技术点，你敢出去面试大数据吗](https://github.com/BigDataScholar/TheKingOfBigData/blob/master/note/spark/%E4%B8%8D%E4%BC%9A%E8%BF%9920%E4%B8%AASpark%E7%83%AD%E9%97%A8%E6%8A%80%E6%9C%AF%E7%82%B9%EF%BC%8C%E4%BD%A0%E6%95%A2%E5%87%BA%E5%8E%BB%E9%9D%A2%E8%AF%95%E5%A4%A7%E6%95%B0%E6%8D%AE%E5%90%97.md)
5. [关于SparkSQL的开窗函数，你应该知道这些](https://github.com/BigDataScholar/TheKingOfBigData/blob/master/note/spark/%E5%85%B3%E4%BA%8ESparkSQL%E7%9A%84%E5%BC%80%E7%AA%97%E5%87%BD%E6%95%B0%EF%BC%8C%E4%BD%A0%E5%BA%94%E8%AF%A5%E7%9F%A5%E9%81%93%E8%BF%99%E4%BA%9B.md)
6. [小白亲绘思维导图，带你重游Spark生态圈](https://github.com/BigDataScholar/TheKingOfBigData/blob/master/note/spark/%E5%B0%8F%E7%99%BD%E4%BA%B2%E7%BB%98%E6%80%9D%E7%BB%B4%E5%AF%BC%E5%9B%BE%EF%BC%8C%E5%B8%A6%E4%BD%A0%E9%87%8D%E6%B8%B8Spark%E7%94%9F%E6%80%81%E5%9C%88!.md)



### 🍭  Flink

1. [ 五千字长文带你快速入门FlinkSQL](https://github.com/BigDataScholar/TheKingOfBigData/blob/master/note/flink/%5B%E5%B9%B2%E8%B4%A7%5D%20%E4%BA%94%E5%8D%83%E5%AD%97%E9%95%BF%E6%96%87%E5%B8%A6%E4%BD%A0%E5%BF%AB%E9%80%9F%E5%85%A5%E9%97%A8FlinkSQL.md)
2. [FlinkSQL流处理中的特殊概念](https://github.com/BigDataScholar/TheKingOfBigData/blob/master/note/flink/FlinkSQL%E6%B5%81%E5%A4%84%E7%90%86%E4%B8%AD%E7%9A%84%E7%89%B9%E6%AE%8A%E6%A6%82%E5%BF%B5.md)
3. [干货-13道精选Flink面试题](https://github.com/BigDataScholar/TheKingOfBigData/blob/master/note/flink/%E5%B9%B2%E8%B4%A7-13%E9%81%93%E7%B2%BE%E9%80%89Flink%E9%9D%A2%E8%AF%95%E9%A2%98.md)
4. [基于Flink CDC打通数据实时入湖](https://mp.weixin.qq.com/s?__biz=Mzk0MTI0OTI1NA==&mid=2247496796&idx=1&sn=32441f1cc9a96c6ee9aeea9f6532ac6e&chksm=c2d7f3d5f5a07ac3b49bd772d83ae6217d8957f0b98ef26602a1a6b08d463819bbe9b560c5d9&token=2075738930&lang=zh_CN#rd)
5. [基于 Flink SQL 构建流批一体的 ETL 数据集成](https://mp.weixin.qq.com/s?__biz=MzIzNjM2MDEyNQ==&mid=2247492119&idx=1&sn=f382fb2cb02079319835d432baaecb2b&chksm=e8dbbac5dfac33d363198239e125113be797842abcd33841ae71d1bb366368e0a636b729e1d3&token=1272273277&lang=zh_CN#rd)

### 🍫其他组件

1. [[硬核]Sqoop入门指南](https://github.com/BigDataScholar/TheKingOfBigData/blob/master/note/%E5%85%B6%E4%BB%96%E7%BB%84%E4%BB%B6/%5B%E7%A1%AC%E6%A0%B8%5DSqoop%E5%85%A5%E9%97%A8%E6%8C%87%E5%8D%97.md)
2. [从 0 到 1 学习 Presto，这一篇就够了](https://github.com/BigDataScholar/TheKingOfBigData/blob/master/note/%E5%85%B6%E4%BB%96%E7%BB%84%E4%BB%B6/%E4%BB%8E%200%20%E5%88%B0%201%20%E5%AD%A6%E4%B9%A0%20Presto%EF%BC%8C%E8%BF%99%E4%B8%80%E7%AF%87%E5%B0%B1%E5%A4%9F%E4%BA%86.md)
3. [第一个“国产“Apache顶级项目——Kylin，了解一下](https://github.com/BigDataScholar/TheKingOfBigData/blob/master/note/%E5%85%B6%E4%BB%96%E7%BB%84%E4%BB%B6/%E7%AC%AC%E4%B8%80%E4%B8%AA%E2%80%9C%E5%9B%BD%E4%BA%A7%E2%80%9CApache%E9%A1%B6%E7%BA%A7%E9%A1%B9%E7%9B%AE%E2%80%94%E2%80%94Kylin%EF%BC%8C%E4%BA%86%E8%A7%A3%E4%B8%80%E4%B8%8B%EF%BC%81.md)
4. [Kylin如何通过BI工具展示](https://github.com/BigDataScholar/TheKingOfBigData/blob/master/note/%E5%85%B6%E4%BB%96%E7%BB%84%E4%BB%B6/Kylin%E5%A6%82%E4%BD%95%E9%80%9A%E8%BF%87BI%E5%B7%A5%E5%85%B7%E5%B1%95%E7%A4%BA.md)
5. [实时分析数据库 Druid，Mark 一下](https://github.com/BigDataScholar/TheKingOfBigData/blob/master/note/%E5%85%B6%E4%BB%96%E7%BB%84%E4%BB%B6/%E5%AE%9E%E6%97%B6%E5%88%86%E6%9E%90%E6%95%B0%E6%8D%AE%E5%BA%93%20Druid%EF%BC%8CMark%20%E4%B8%80%E4%B8%8B.md)






### 🍷[大数据实战]电商用户行为数据分析

1. [基于 flink 的电商用户行为数据分析【1】项目整体介绍](https://github.com/BigDataScholar/TheKingOfBigData/blob/master/note/%E5%AE%9E%E6%88%98%E9%A1%B9%E7%9B%AE/%E5%9F%BA%E4%BA%8Eflink%E7%9A%84%E7%94%B5%E5%95%86%E7%94%A8%E6%88%B7%E8%A1%8C%E4%B8%BA%E6%95%B0%E6%8D%AE%E5%88%86%E6%9E%90%E3%80%901%E3%80%91%20%E9%A1%B9%E7%9B%AE%E6%95%B4%E4%BD%93%E4%BB%8B%E7%BB%8D.md)


2. [基于 flink 的电商用户行为数据分析【2】实时热门商品统计](https://github.com/BigDataScholar/TheKingOfBigData/blob/master/note/%E5%AE%9E%E6%88%98%E9%A1%B9%E7%9B%AE/%E5%9F%BA%E4%BA%8Eflink%E7%9A%84%E7%94%B5%E5%95%86%E7%94%A8%E6%88%B7%E8%A1%8C%E4%B8%BA%E6%95%B0%E6%8D%AE%E5%88%86%E6%9E%90%E3%80%902%E3%80%91%E5%AE%9E%E6%97%B6%E7%83%AD%E9%97%A8%E5%95%86%E5%93%81%E7%BB%9F%E8%AE%A1.md)

3. [基于 flink 的电商用户行为数据分析【3】实时流量统计](https://github.com/BigDataScholar/TheKingOfBigData/blob/master/note/%E5%AE%9E%E6%88%98%E9%A1%B9%E7%9B%AE/%E5%9F%BA%E4%BA%8Eflink%E7%9A%84%E7%94%B5%E5%95%86%E7%94%A8%E6%88%B7%E8%A1%8C%E4%B8%BA%E6%95%B0%E6%8D%AE%E5%88%86%E6%9E%90%E3%80%903%E3%80%91%E5%AE%9E%E6%97%B6%E6%B5%81%E9%87%8F%E7%BB%9F%E8%AE%A1.md)
4. [基于 flink 的电商用户行为数据分析【4】恶意登录监控](https://github.com/BigDataScholar/TheKingOfBigData/blob/master/note/%E5%AE%9E%E6%88%98%E9%A1%B9%E7%9B%AE/%E5%9F%BA%E4%BA%8Eflink%E7%9A%84%E7%94%B5%E5%95%86%E7%94%A8%E6%88%B7%E8%A1%8C%E4%B8%BA%E6%95%B0%E6%8D%AE%E5%88%86%E6%9E%90%E3%80%904%E3%80%91%E6%81%B6%E6%84%8F%E7%99%BB%E5%BD%95%E7%9B%91%E6%8E%A7.md)
5. [基于 flink 的电商用户行为数据分析【5】基于埋点日志数据的网络流量统计](https://github.com/BigDataScholar/TheKingOfBigData/blob/master/note/%E5%AE%9E%E6%88%98%E9%A1%B9%E7%9B%AE/%E5%9F%BA%E4%BA%8E%20flink%20%E7%9A%84%E7%94%B5%E5%95%86%E7%94%A8%E6%88%B7%E8%A1%8C%E4%B8%BA%E6%95%B0%E6%8D%AE%E5%88%86%E6%9E%90%E3%80%905%E3%80%91%E5%9F%BA%E4%BA%8E%E5%9F%8B%E7%82%B9%E6%97%A5%E5%BF%97%E6%95%B0%E6%8D%AE%E7%9A%84%E7%BD%91%E7%BB%9C%E6%B5%81%E9%87%8F%E7%BB%9F%E8%AE%A1.md)

6. [基于 flink 的电商用户行为数据分析【6】APP市场推广统计](https://github.com/BigDataScholar/TheKingOfBigData/blob/master/note/%E5%AE%9E%E6%88%98%E9%A1%B9%E7%9B%AE/%E5%9F%BA%E4%BA%8E%20flink%20%E7%9A%84%E7%94%B5%E5%95%86%E7%94%A8%E6%88%B7%E8%A1%8C%E4%B8%BA%E6%95%B0%E6%8D%AE%E5%88%86%E6%9E%90%E3%80%906%E3%80%91APP%E5%B8%82%E5%9C%BA%E6%8E%A8%E5%B9%BF%E7%BB%9F%E8%AE%A1.md)

7. [基于 flink 的电商用户行为数据分析【7】页面广告分析](https://github.com/BigDataScholar/TheKingOfBigData/blob/master/note/%E5%AE%9E%E6%88%98%E9%A1%B9%E7%9B%AE/%E5%9F%BA%E4%BA%8E%20flink%20%E7%9A%84%E7%94%B5%E5%95%86%E7%94%A8%E6%88%B7%E8%A1%8C%E4%B8%BA%E6%95%B0%E6%8D%AE%E5%88%86%E6%9E%90%E3%80%907%E3%80%91%E9%A1%B5%E9%9D%A2%E5%B9%BF%E5%91%8A%E5%88%86%E6%9E%90.md)

8. [基于 flink 的电商用户行为数据分析【8】订单支付实时监控](https://github.com/BigDataScholar/TheKingOfBigData/blob/master/note/%E5%AE%9E%E6%88%98%E9%A1%B9%E7%9B%AE/%E5%9F%BA%E4%BA%8E%20flink%20%E7%9A%84%E7%94%B5%E5%95%86%E7%94%A8%E6%88%B7%E8%A1%8C%E4%B8%BA%E6%95%B0%E6%8D%AE%E5%88%86%E6%9E%90%E3%80%908%E3%80%91%E8%AE%A2%E5%8D%95%E6%94%AF%E4%BB%98%E5%AE%9E%E6%97%B6%E7%9B%91%E6%8E%A7.md)


9. [基于 flink 的电商用户行为数据分析【9】电商常见指标汇总 + 项目总结](https://github.com/BigDataScholar/TheKingOfBigData/blob/master/note/%E5%AE%9E%E6%88%98%E9%A1%B9%E7%9B%AE/%E5%9F%BA%E4%BA%8E%20flink%20%E7%9A%84%E7%94%B5%E5%95%86%E7%94%A8%E6%88%B7%E8%A1%8C%E4%B8%BA%E6%95%B0%E6%8D%AE%E5%88%86%E6%9E%90%E3%80%909%E3%80%91%E7%94%B5%E5%95%86%E5%B8%B8%E8%A7%81%E6%8C%87%E6%A0%87%E6%B1%87%E6%80%BB%20%2B%20%E9%A1%B9%E7%9B%AE%E6%80%BB%E7%BB%93.md)




### 🧊[精品分享]用户画像方法论与工程化解决方案

1. [[用户画像]开发性能调优](https://github.com/BigDataScholar/TheKingOfBigData/blob/master/note/%E5%AE%9E%E6%88%98%E9%A1%B9%E7%9B%AE/%5B%E7%94%A8%E6%88%B7%E7%94%BB%E5%83%8F%5D%E5%BC%80%E5%8F%91%E6%80%A7%E8%83%BD%E8%B0%83%E4%BC%98.md)

2. [[超硬核]一文带你入门用户画像](https://github.com/BigDataScholar/TheKingOfBigData/blob/master/note/%E5%AE%9E%E6%88%98%E9%A1%B9%E7%9B%AE/%5B%E8%B6%85%E7%A1%AC%E6%A0%B8%5D%E4%B8%80%E6%96%87%E5%B8%A6%E4%BD%A0%E5%85%A5%E9%97%A8%E7%94%A8%E6%88%B7%E7%94%BB%E5%83%8F.md)

3. [[用户画像]标签数据存储之Hive真实应用](https://github.com/BigDataScholar/TheKingOfBigData/blob/master/note/%E5%AE%9E%E6%88%98%E9%A1%B9%E7%9B%AE/%5B%E7%94%A8%E6%88%B7%E7%94%BB%E5%83%8F%5D%E6%A0%87%E7%AD%BE%E6%95%B0%E6%8D%AE%E5%AD%98%E5%82%A8%E4%B9%8BHive%E7%9C%9F%E5%AE%9E%E5%BA%94%E7%94%A8.md) 

4. [[用户画像]标签数据存储之MySQL真实应用](https://github.com/BigDataScholar/TheKingOfBigData/blob/master/note/%E5%AE%9E%E6%88%98%E9%A1%B9%E7%9B%AE/%5B%E7%94%A8%E6%88%B7%E7%94%BB%E5%83%8F%5D%E6%A0%87%E7%AD%BE%E6%95%B0%E6%8D%AE%E5%AD%98%E5%82%A8%E4%B9%8BMySQL%E7%9C%9F%E5%AE%9E%E5%BA%94%E7%94%A8.md)

5. [[用户画像]标签数据存储之HBase真实应用](https://github.com/BigDataScholar/TheKingOfBigData/blob/master/note/%E5%AE%9E%E6%88%98%E9%A1%B9%E7%9B%AE/%5B%E7%94%A8%E6%88%B7%E7%94%BB%E5%83%8F%5D%E6%A0%87%E7%AD%BE%E6%95%B0%E6%8D%AE%E5%AD%98%E5%82%A8%E4%B9%8BHBase%E7%9C%9F%E5%AE%9E%E5%BA%94%E7%94%A8.md)

6. [[用户画像]标签数据存储之Elasticsearch真实应用](https://github.com/BigDataScholar/TheKingOfBigData/blob/master/note/%E5%AE%9E%E6%88%98%E9%A1%B9%E7%9B%AE/%5B%E7%94%A8%E6%88%B7%E7%94%BB%E5%83%8F%5D%E6%A0%87%E7%AD%BE%E6%95%B0%E6%8D%AE%E5%AD%98%E5%82%A8%E4%B9%8BElasticsearch%E7%9C%9F%E5%AE%9E%E5%BA%94%E7%94%A8.md)


###  🍸 面试杀招
1. [Hive高频考点，就怕你都会](https://github.com/BigDataScholar/TheKingOfBigData/blob/master/note/%E9%9D%A2%E8%AF%95%E6%9D%80%E6%8B%9B/%5B%E9%9D%A2%E8%AF%95%E6%9D%80%E6%8B%9B%5DHive%E9%AB%98%E9%A2%91%E8%80%83%E7%82%B9%EF%BC%8C%E5%B0%B1%E6%80%95%E4%BD%A0%E9%83%BD%E4%BC%9A.md)
2. [Hadoop高频考点，正在刷新你的认知](https://github.com/BigDataScholar/TheKingOfBigData/blob/master/note/%E9%9D%A2%E8%AF%95%E6%9D%80%E6%8B%9B/%5B%E9%9D%A2%E8%AF%95%E6%9D%80%E6%8B%9B%5DHadoop%E9%AB%98%E9%A2%91%E8%80%83%E7%82%B9%EF%BC%8C%E6%AD%A3%E5%9C%A8%E5%88%B7%E6%96%B0%E4%BD%A0%E7%9A%84%E8%AE%A4%E7%9F%A5.md)
3. [Spark高频考点，必知必会](https://github.com/BigDataScholar/TheKingOfBigData/blob/master/note/%E9%9D%A2%E8%AF%95%E6%9D%80%E6%8B%9B/%5B%E9%9D%A2%E8%AF%95%E6%9D%80%E6%8B%9B%5DSpark%E9%AB%98%E9%A2%91%E8%80%83%E7%82%B9%EF%BC%8C%E5%BF%85%E7%9F%A5%E5%BF%85%E4%BC%9A.md)
4. [面试刷题常见的3种类型的SQL，必知必会](https://mp.weixin.qq.com/s?__biz=Mzk0MTI0OTI1NA==&mid=2247497128&idx=1&sn=5d39b57ec74b94e06834b8f5b95c7a46&chksm=c2d7f221f5a07b375e158b4b6df7f84668052ca19aab2dbb89df517e6824f39fb0d30992159a&token=2075738930&lang=zh_CN#rd)
5. [系列文章一：精选大数据面试真题10道（混合型）-附答案详细解析](https://mp.weixin.qq.com/s?__biz=MzIzNjM2MDEyNQ==&mid=2247490454&idx=1&sn=df5243b8ff5610b2db4c286b99bcf70b&chksm=e8d84344dfafca529409da02e146c11ad06796eee7bdfba600277614dc298827faeb73b3bb2b&token=1819206302&lang=zh_CN#rd)
6. [面试系列二：精选大数据面试真题JVM专项-附答案详细解析](https://mp.weixin.qq.com/s?__biz=MzIzNjM2MDEyNQ==&mid=2247490676&idx=1&sn=867b21a21cf74ef1ef17cdc96440da86&chksm=e8d844a6dfafcdb0ab18b4f8fd79421986e35a86de931b3d4604d7a2b15a970e8a7d7eb5b200&token=1819206302&lang=zh_CN#rd)
7. [看完了108份面试题，我为你总结出了这 10 个【Hive】高频考点（建议收藏）](https://github.com/BigDataScholar/TheKingOfBigData/blob/master/note/%E9%9D%A2%E8%AF%95%E6%9D%80%E6%8B%9B/%E7%9C%8B%E5%AE%8C%E4%BA%86108%E4%BB%BD%E9%9D%A2%E8%AF%95%E9%A2%98%EF%BC%8C%E6%88%91%E4%B8%BA%E4%BD%A0%E6%80%BB%E7%BB%93%E5%87%BA%E4%BA%86%E8%BF%99%2010%20%E4%B8%AA%E3%80%90Hive%E3%80%91%E9%AB%98%E9%A2%91%E8%80%83%E7%82%B9%EF%BC%88%E5%BB%BA%E8%AE%AE%E6%94%B6%E8%97%8F%EF%BC%89.md)


###  🍵 程序人生

1. [程序人生/简单谈谈最近在看的几本书「数据中台，用户画像」](https://github.com/BigDataScholar/TheKingOfBigData/tree/master/note/%E7%A8%8B%E5%BA%8F%E4%BA%BA%E7%94%9F)
2. [简单谈谈最近在看的几本书「数据中台，用户画像」](https://github.com/BigDataScholar/TheKingOfBigData/blob/master/note/%E7%A8%8B%E5%BA%8F%E4%BA%BA%E7%94%9F/%E7%AE%80%E5%8D%95%E8%B0%88%E8%B0%88%E6%9C%80%E8%BF%91%E5%9C%A8%E7%9C%8B%E7%9A%84%E5%87%A0%E6%9C%AC%E4%B9%A6%E3%80%8C%E6%95%B0%E6%8D%AE%E4%B8%AD%E5%8F%B0%EF%BC%8C%E7%94%A8%E6%88%B7%E7%94%BB%E5%83%8F%E3%80%8D.md)
3. [[云上有为 · 未来无界] 2021上海站 ECUG Con 第一天回忆录](https://github.com/BigDataScholar/TheKingOfBigData/blob/master/note/%E7%A8%8B%E5%BA%8F%E4%BA%BA%E7%94%9F/%5B%E4%BA%91%E4%B8%8A%E6%9C%89%E4%B8%BA%20%C2%B7%20%E6%9C%AA%E6%9D%A5%E6%97%A0%E7%95%8C%5D%202021%E4%B8%8A%E6%B5%B7%E7%AB%99%20ECUG%20Con%20%E7%AC%AC%E4%B8%80%E5%A4%A9%E5%9B%9E%E5%BF%86%E5%BD%95.md)
4. [00后程序员摸爬滚打近一年，为学弟学妹们总结出了以下 7 条人生建议（建议收藏）](https://github.com/BigDataScholar/TheKingOfBigData/blob/master/note/%E7%A8%8B%E5%BA%8F%E4%BA%BA%E7%94%9F/00%E5%90%8E%E7%A8%8B%E5%BA%8F%E5%91%98%E6%91%B8%E7%88%AC%E6%BB%9A%E6%89%93%E8%BF%91%E4%B8%80%E5%B9%B4%EF%BC%8C%E4%B8%BA%E5%AD%A6%E5%BC%9F%E5%AD%A6%E5%A6%B9%E4%BB%AC%E6%80%BB%E7%BB%93%E5%87%BA%E4%BA%86%E4%BB%A5%E4%B8%8B%207%20%E6%9D%A1%E4%BA%BA%E7%94%9F%E5%BB%BA%E8%AE%AE%EF%BC%88%E5%BB%BA%E8%AE%AE%E6%94%B6%E8%97%8F%EF%BC%89.md)
5. [上海有哪些牛逼的互联网公司？](https://mp.weixin.qq.com/s?__biz=Mzk0MTI0OTI1NA==&mid=2247496844&idx=1&sn=2113ff8b8d39b9eb7bd017e464865a2f&chksm=c2d7f305f5a07a1345db09be91ef2a4f16a6714bd052860e8e06bc886960a490aefd7116f303&token=2075738930&lang=zh_CN#rd)
6. [校招进腾讯，二本也可以？](https://mp.weixin.qq.com/s?__biz=Mzk0MTI0OTI1NA==&mid=2247496426&idx=1&sn=b9de117476d564271fb763dc65bcd896&chksm=c2d7f563f5a07c75a303b6f4491be9dd455a3e4a43a941e31eedb8576f1fd9388c5b7434b440&token=2075738930&lang=zh_CN#rd)
7. [大数据技术专家：写给大数据初级开发者或准备转行大数据的人](https://mp.weixin.qq.com/s?__biz=Mzk0MTI0OTI1NA==&mid=2247497188&idx=1&sn=60000b45024ddeea6c826ab5d37aa84b&chksm=c2d7f26df5a07b7b5c3d8387365abbee073f0627d5ba0e4b555596974130a5ca851d57782c44&token=231732813&lang=zh_CN#rd)
8. [张一鸣: 我发现混的好的人，全都有同一个特质](https://mp.weixin.qq.com/s?__biz=Mzk0MTI0OTI1NA==&mid=2247497242&idx=1&sn=5593e401fb14466a740d821b27306ae9&chksm=c2d7f193f5a078856fce05bda4c024e3120efaf1cd0ca9ad1e79ab412ba8bf827504b7e1a632&token=231732813&lang=zh_CN#rd)
9. [程序员的酒后真言](https://mp.weixin.qq.com/s?__biz=Mzk0MTI0OTI1NA==&mid=2247497254&idx=1&sn=d6097fb235f1ba9b8700f93f030d3c0a&chksm=c2d7f1aff5a078b9067fcf1f4b455b12adeb534f9ff49b87168584dbf2df6c3f5182fe4290e3&token=231732813&lang=zh_CN#rd)
10. [假装内卷，才是互联网人的噩梦](https://mp.weixin.qq.com/s?__biz=Mzk0MTI0OTI1NA==&mid=2247497312&idx=1&sn=d1e3b4e359569d7d038cd2d877ffcff8&chksm=c2d7f1e9f5a078ff84b913e92feea5284e191e5c901ce04c102623bb198379a6fd460b7b0336&token=231732813&lang=zh_CN#rd)
11. [参加七牛云“PISA”发布会随想录](https://mp.weixin.qq.com/s?__biz=Mzk0MTI0OTI1NA==&mid=2247497732&idx=1&sn=90e303afbb4e8ebcab88514e6b38ab7e&chksm=c2d7ff8df5a0769b451523dc6474d196a3a123190ba7ecefeaf8d802aa5d0a1895255c2e090c&token=231732813&lang=zh_CN#rd)
12. [快四十了，意外失业的我该如何面对？](https://mp.weixin.qq.com/s?__biz=Mzk0MTI0OTI1NA==&mid=2247497835&idx=1&sn=0049bf396cafb808d3ccf7941aa345d4&chksm=c2d7ffe2f5a076f436c4b0257e4c3be00bc4ff7c453b24fa904459646c990ba6709b40ecf0b7&token=231732813&lang=zh_CN#rd)
13. [Data & Cloud Summit 2021 活动小记](https://mp.weixin.qq.com/s?__biz=Mzk0MTI0OTI1NA==&mid=2247498567&idx=1&sn=78e34d5ce740c9d045f90e74b1d04385&chksm=c2d7fccef5a075d8b974dcc9f9203327cf4757134ecee06dfe44ef631fe24488fc00c0ba9701&token=2144993046&lang=zh_CN#rd)
14. [保研985，斩获ACM金牌 ！！！](https://mp.weixin.qq.com/s?__biz=Mzk0MTI0OTI1NA==&mid=2247498354&idx=1&sn=5be8b930e41d998677a7f2fae64f71f0&chksm=c2d7fdfbf5a074edd9356e104656386a42f5a8826ce3bbe8557470b3d654b46aa3f5cc728599&token=2144993046&lang=zh_CN#rd)
15. [张一鸣：我的大学四年收获及工作感悟](https://mp.weixin.qq.com/s?__biz=Mzk0MTI0OTI1NA==&mid=2247498088&idx=1&sn=73e8f2177477bcb784e3a007cc56cc0e&chksm=c2d7fee1f5a077f7bf3dddc1a4b69e5fb85d85a8f1ee344665e4b6ce6286d9493decb5b04501&token=2144993046&lang=zh_CN#rd)
16. [从零开始的大数据技术学习路线指南 (建议收藏)](https://mp.weixin.qq.com/s?__biz=Mzk0MTI0OTI1NA==&mid=2247498312&idx=1&sn=a3b4b654b63f2ee6c6a0b2065d4aaf7f&chksm=c2d7fdc1f5a074d72022d6b64c3ea0a8869ed6861d7a9faa696c66af2dc4611f65dc492d1c2a&token=2144993046&lang=zh_CN#rd)






###  🥥 中间件

1. [从 0 到 1 学习 elasticsearch ，这一篇就够了！(建议收藏)](https://github.com/BigDataScholar/TheKingOfBigData/blob/master/note/%E4%B8%AD%E9%97%B4%E4%BB%B6/%E4%BB%8E%200%20%E5%88%B0%201%20%E5%AD%A6%E4%B9%A0%20elasticsearch%20%EF%BC%8C%E8%BF%99%E4%B8%80%E7%AF%87%E5%B0%B1%E5%A4%9F%E4%BA%86%EF%BC%81(%E5%BB%BA%E8%AE%AE%E6%94%B6%E8%97%8F).md)
2. [2w字，一文干掉 Kafka](https://mp.weixin.qq.com/s/7MLiPppz_euiCslPpsnz6A)
3. [大白话认识 Kafka 背后优秀的架构设计](https://mp.weixin.qq.com/s?__biz=MzIzNjM2MDEyNQ==&mid=2247496279&idx=1&sn=37467e6ea62d6c9ab9575403da94eee9&chksm=e8dbaa85dfac23935fc2a7b86936b0018d864c069aee7b77643936166986cf6021a8fa0f8e85&token=1693301572&lang=zh_CN#rd)
###  🍟 其他技术

1. [零基础带你硬核了解并上手“Ansible“!](https://alice.blog.csdn.net/article/details/109771486)
2. [Ansible进阶学习之Playbooks(剧本)的理解使用](https://alice.blog.csdn.net/article/details/109844469)
3. [零基础学Nginx【1】 | Nginx基础概念入门](https://alice.blog.csdn.net/article/details/109649436)
4. [零基础学Nginx【2】| Nginx 常用的命令和配置文件](https://alice.blog.csdn.net/article/details/109673939)
5. [零基础学Docker【1】 | 一文带你快速了解并上手Docker](https://alice.blog.csdn.net/article/details/109550045)
6. [零基础学Docker【2】 | 一文带你快速学习Docker常用命令](https://alice.blog.csdn.net/article/details/109554274)
7. [零基础学Docker【3】 | 一文带你快速进行Docker实战](https://alice.blog.csdn.net/article/details/109561119)
8. [零基础学Docker【4】 | 一文带你理解Docker镜像原理之联合文件系统](https://alice.blog.csdn.net/article/details/109638410)
9. [万字长文带你快速了解并上手Testcontainers](https://alice.blog.csdn.net/article/details/111790143)

###  🥗 企业级真实应用
1. [腾讯基于 Flink SQL 的功能扩展与深度优化实践](https://mp.weixin.qq.com/s/vgpeZKFR13sSPwvtPvaDNA)
2. [网易云音乐基于 Flink + Kafka 的实时数仓建设实践](https://mp.weixin.qq.com/s/JcuW0_YDQj0rlgPMmuwzYQ)
3. [阿里巴巴为什么能抗住90秒100亿？--服务端高并发分布式架构演进之路](https://mp.weixin.qq.com/s/fyTqrx8aj813KHdPAiYpXA)
4. [Apache Flink 在快手的过去、现在和未来](https://mp.weixin.qq.com/s/d3c5k-9-PFVCy9UPV7ZRPw)
5. [分析 BAT 互联网巨头在大数据方向布局及大数据未来发展趋势](https://mp.weixin.qq.com/s?__biz=MzIzNjM2MDEyNQ==&tempkey=MTEwMV9qbmlobnBUUXNVNDVOb3d6Vk1BWlRhUExybUJnYmhrRExWTllDT2FNRzVWRC1lb1JuYzdUQVl4bkI0QnUwckNSN3g1dTQ1cGdQMVYyZktmNWMtelVIVV9PWmZzR1NpVHVoQTI0Z0k2emNrN0ZFSmNPODV2VFVZcVRkZmJodDRjeERpakQxQlZ6RmlkOWlodzZPRmhETE05Y2dlOHRaYTNRN0VFbVJnfn4%3D&chksm=68d842d55fafcbc37adf1768525d80aabf26baf743c145b6c10b31fb801b55e5b22c1b7bbd59&__mpa_temp_link_flag=1&token=330116486#rd)
6. [结合公司业务分析离线数仓建设](https://mp.weixin.qq.com/s?__biz=MzIzNjM2MDEyNQ==&mid=2247490484&idx=1&sn=6f26e9c4ded5188748d1bf9a4be72a20&chksm=e8d84366dfafca70c6f36ba84a6c43ebf59b4a7898f20598f0d3cea9a4579f442c67473c8ef3&token=1819206302&lang=zh_CN#rd)
7. [网易云音乐数仓维度建模实践-模型设计篇](https://mp.weixin.qq.com/s?__biz=MzIzNjM2MDEyNQ==&tempkey=MTEwM184TW5iS04wSDY1djhaSjduckJ2QTJHbEszVi00SjBOcFZQUkNJby1ReEpIWWtFNURHQ0dKdE9NOHU1TXByMWN6Zy1VOXdwX2xZeFM3T2dWbENWckhuaGM0TzlLUkRWVVY4N1M0bE40dm1ySjd0UFdmcWE0NDhkWDllR0hHb0lPdVdab1VFWEVTUE11YURNOXVwN1lBbjN3UTFUZXM0S3dwNkU1RGhBfn4%3D&chksm=68dbb8705fac31664b48442294a3b4f61175f480f05ea5320a3126c038d99da5669169e346d5&__mpa_temp_link_flag=1&token=1690256264#rd)
8. [Apache Doris 在京东广告的应用实践 ](https://mp.weixin.qq.com/s?__biz=MzIzNjM2MDEyNQ==&mid=2247493960&idx=1&sn=ccfa5073bf7d47eb85cfe9cf2475eecf&chksm=e8dbb19adfac388c36484241ddf78236f8af533ad159870be36c56cb3f528e35529cb28d55d3&token=1073059733&lang=zh_CN#rd)
9. [猿辅导 x DorisDB：构建统一OLAP平台，全面升级数据分析能力](https://mp.weixin.qq.com/s?__biz=MzIzNjM2MDEyNQ==&mid=2247496016&idx=2&sn=ffe549dccf3c72376478a29ba35359cf&chksm=e8dba982dfac20949ebc4acb759f30284b7a9e6f5eb3eed8c0f4e246d3fe4207c8aa3fb15788&token=1693301572&lang=zh_CN#rd)
10. [电商供应链数仓平台该如何建设？应该注意什么？](https://mp.weixin.qq.com/s?__biz=Mzk0MTI0OTI1NA==&mid=2247498832&idx=1&sn=9f64102857e38083e28660ffeaff5cee&chksm=c2d7fbd9f5a072cf9e17a705ebb3d92fce248cb0c253c90f99ee9dd97be1facf374a8679cb77&token=2144993046&lang=zh_CN#rd)
11. [DorisDB在某二梯队互联网公司的实践](https://mp.weixin.qq.com/s?__biz=Mzk0MTI0OTI1NA==&mid=2247498961&idx=1&sn=f7cd3056dca7576ce3bd6c4124854479&chksm=c2d7fb58f5a0724e13b1a947c37b665484e20475896bd204ab8593a39aede141b491f673a9f4&token=2144993046&lang=zh_CN#rd)





###  🥤 [超强总结](https://mp.weixin.qq.com/s?__biz=Mzk0MTI0OTI1NA==&mid=2247498832&idx=1&sn=9f64102857e38083e28660ffeaff5cee&chksm=c2d7fbd9f5a072cf9e17a705ebb3d92fce248cb0c253c90f99ee9dd97be1facf374a8679cb77&token=2144993046&lang=zh_CN#rd)
1. [万字详解整个数据仓库建设体系](https://mp.weixin.qq.com/s/EHzya2zscZTnRe0GCVK4cA)

2. [Redis最佳实践：7个维度+43条使用规范，带你彻底玩转Redis | 附实践清单](https://mp.weixin.qq.com/s/WXoyhxF057VcJtncIYzECw)

3. [架构师 | 数据仓库建设灵魂10问](https://mp.weixin.qq.com/s?__biz=MzIzNjM2MDEyNQ==&mid=2247492069&idx=1&sn=f68def66bfd0354cd2adbbaf14da558e&chksm=e8dbb937dfac3021beb27373dc52d73b05ff0b2e0a1ea831829f608c4b03811a4d5aab23722a&token=1272273277&lang=zh_CN#rd)

4. [推荐一些热门的DevOps工具](https://mp.weixin.qq.com/s?__biz=MzIzNjM2MDEyNQ==&mid=2247492239&idx=1&sn=47a8d70793326a3a97f61ccb9a4d181e&chksm=e8dbba5ddfac334b53b6c20ffcde7322b8c61106e0c1a2120604731fe0aadefe4ee17386aca6&token=1272273277&lang=zh_CN#rd)

5. [使用 Flink 前需要知道的 10 个『陷阱』](https://mp.weixin.qq.com/s?__biz=MzIzNjM2MDEyNQ==&mid=2247492303&idx=1&sn=3c86c64c9de9ef72453efac1740a642a&chksm=e8dbba1ddfac330bbb898a54485a3e7bab7366fd884beab134402fc4d9822258e904f2069afa&token=1272273277&lang=zh_CN#rd)

6. [干货 | 实时数仓中的消息队列技术深度对比](https://mp.weixin.qq.com/s?__biz=MzIzNjM2MDEyNQ==&mid=2247494119&idx=1&sn=22486e3a4c85063f6e261a91a26226ca&chksm=e8dbb135dfac3823c6c81cf7c68179f6a2907cf10a4c9e002d67b8fb39cc00a3213db891f998&token=2100073657&lang=zh_CN#rd)

7. [面试必备 | 10道海量数据处理，你会几道？](https://mp.weixin.qq.com/s?__biz=MzIzNjM2MDEyNQ==&mid=2247494221&idx=1&sn=05fffc2c0353007f1c76db578fc84a69&chksm=e8dbb29fdfac3b897fd3316ccde51a49b108a32a138e7c0ba054943fe2849c34717f531020e1&token=2100073657&lang=zh_CN#rd)

8. [工作四年，分享50个优化代码的妙招](https://mp.weixin.qq.com/s/AKVdTdfbClN_bx4wk54NhA)

9. [使用Redis，你必须知道的21个注意要点](https://mp.weixin.qq.com/s?__biz=MzIzNjM2MDEyNQ==&mid=2247495966&idx=1&sn=4e005615a68d1f3a81f19dbfc9da094e&chksm=e8dba9ccdfac20da6b2d78aa4eca9700c107797203368f8cbc9aa62a148549c71ecd1e8a1f24&token=1693301572&lang=zh_CN#rd)

10. [六千字总结:大数据框架(分区，分桶，分片)](https://mp.weixin.qq.com/s?__biz=Mzk0MTI0OTI1NA==&mid=2247497071&idx=1&sn=0ef89ef6f5fae4b946affec996b2c3e1&chksm=c2d7f2e6f5a07bf06e5f3bd183fec61692328218e765cdc2d4236ef107f84d00b7e449367bd9&token=2075738930&lang=zh_CN#rd)

11. [有了这 27 个Linux 技巧，让你工作效率翻倍！](https://mp.weixin.qq.com/s?__biz=Mzk0MTI0OTI1NA==&mid=2247496830&idx=1&sn=0ce5729efc6e0120cc6f3fd8bb84d348&chksm=c2d7f3f7f5a07ae1fcc44171c1e1e1fffcd9ef4a75c34a2e3bb040eb49315436cc8e8729aaf3&token=2075738930&lang=zh_CN#rd)

12. [超牛逼！100 个开箱即用的 Shell 脚本，拿好了~](https://mp.weixin.qq.com/s?__biz=Mzk0MTI0OTI1NA==&mid=2247496656&idx=1&sn=876c92caa1f470e3bd8f0652e36b7157&chksm=c2d7f459f5a07d4fd22b2d6a81dd1aa4cdfb26261b7e0870d15580391099880658aafe8a63e6&token=2075738930&lang=zh_CN#rd)

13. [互联网大厂的秋招干货总结 | 建议收藏](https://mp.weixin.qq.com/s?__biz=Mzk0MTI0OTI1NA==&mid=2247496522&idx=1&sn=81759a0ccef3d0ecd9255a2c3996b72d&chksm=c2d7f4c3f5a07dd5d8a48bca1bebb5c37cce5114665ebb750e449671828520f0fe251efa3503&token=2075738930&lang=zh_CN#rd)

14. [数仓基础知识的超全概括(建议收藏)！](https://mp.weixin.qq.com/s?__biz=Mzk0MTI0OTI1NA==&mid=2247497354&idx=1&sn=3044ceb4f4400351122af1f162715562&chksm=c2d7f103f5a0781536f5dbc021c1122783597dfa0fbde602c8cedc408c3de84c3d8b81c0d2e1&token=231732813&lang=zh_CN#rd)

15. [原来 Elasticsearch 还可以这么理解！](https://mp.weixin.qq.com/s?__biz=Mzk0MTI0OTI1NA==&mid=2247497551&idx=1&sn=bf8c62d61e0a5d08e925bb83051b544a&chksm=c2d7f0c6f5a079d051b7d9440ec566d0a3affe824a79a045420c56510cca76b8a569ed8f46aa&token=231732813&lang=zh_CN#rd)

16. [Flink吐血总结，学习与面试收藏这一篇就够了！！！](https://mp.weixin.qq.com/s?__biz=Mzk0MTI0OTI1NA==&mid=2247497583&idx=1&sn=8696ee57091a2fe395c93a88847dea54&chksm=c2d7f0e6f5a079f045057fd0a2fc0f94d8304229bde6f14103152c82774b0184f876e4b52b1a&token=231732813&lang=zh_CN#rd)

17. [干货分享 | 4万字全面解读数据中台、数据仓库、数据湖（建议收藏）]()

18. [数仓如何选择计算引擎！(好文建议收藏)](https://mp.weixin.qq.com/s?__biz=Mzk0MTI0OTI1NA==&mid=2247497987&idx=1&sn=d78ffcdba49a2ee7f4b88bdc64b1fd06&chksm=c2d7fe8af5a0779c2d9360022afee522a4056e8bbb436a794d0462472be37b084452cd4e2b55&token=2144993046&lang=zh_CN#rd)

19. [你的数据倾斜了吗？一文帮你数据处理再均衡](https://mp.weixin.qq.com/s?__biz=Mzk0MTI0OTI1NA==&mid=2247498023&idx=1&sn=ba4623e93801342788e5ce5921d9eb1e&chksm=c2d7feaef5a077b890481154cdfae5376824f68f16f9f0b9aed0a629014cf123dcf9b588dfa7&token=2144993046&lang=zh_CN#rd)

20. [大数据那么多调度系统系统，我该选哪个？(干货满满)](https://mp.weixin.qq.com/s?__biz=Mzk0MTI0OTI1NA==&mid=2247498138&idx=1&sn=daca374ed3ede3ff1fc32114bb2270a9&chksm=c2d7fe13f5a077058e14cf4df5f1ee275edae6644f258434b5e15a7bf8fb9440d3d2a2fd8344&token=2144993046&lang=zh_CN#rd)

    







###  ☕ 精华面经
1. [美团优选大数据开发岗面试真题-附答案详细解析](https://mp.weixin.qq.com/s?__biz=MzIzNjM2MDEyNQ==&mid=2247492683&idx=1&sn=6a7483a9ad93493555a52a419b960ed1&chksm=e8dbbc99dfac358f95524c7bc90a4a2dc4699ce376f19b613b2aee984bb03b1a31da9cd8cd7e&token=1777830110&lang=zh_CN#rd)
2. [8家大厂面经(阿里、腾讯、美团等)](https://mp.weixin.qq.com/s?__biz=Mzk0MTI0OTI1NA==&mid=2247498984&idx=1&sn=12d2918f1526a376e34d153a56f22b07&chksm=c2d7fb61f5a07277c3a84f42f6b790dfa6285876c3e933f7151b596ccb14a7b737206d824d65&token=2144993046&lang=zh_CN#rd)





###  🍯 [有趣有料](https://mp.weixin.qq.com/s?__biz=Mzk0MTI0OTI1NA==&mid=2247498984&idx=1&sn=12d2918f1526a376e34d153a56f22b07&chksm=c2d7fb61f5a07277c3a84f42f6b790dfa6285876c3e933f7151b596ccb14a7b737206d824d65&token=2144993046&lang=zh_CN#rd)
1. [ETL和ELT到底有啥区别？？？](https://mp.weixin.qq.com/s?__biz=MzIzNjM2MDEyNQ==&mid=2247494017&idx=1&sn=92c3f3991eeece3d092eeaa69bc25e89&chksm=e8dbb153dfac3845510b85da4c583bf3a2343e51b8180f908a43537173cebdbe14277558dbd7&token=1073059733&lang=zh_CN#rd)
2. [为什么我们选择基于 Flink 搭建实时个性化营销平台？](https://mp.weixin.qq.com/s/451BFoJDbkvlDc0inOukcw)
3. [以直播平台监控用户弹幕为例详解 Flink CEP](https://mp.weixin.qq.com/s?__biz=MzIzNjM2MDEyNQ==&mid=2247496065&idx=1&sn=fc03486210be0a4bd447761b3b883bd3&chksm=e8dba953dfac204543b0e4ae750af0799b96f626d2de868f31b94151d4d148430dea062b4f7c&token=1693301572&lang=zh_CN#rd)
4. [数据仓库领域常见建模方法及实例演示](https://mp.weixin.qq.com/s?__biz=MzIzNjM2MDEyNQ==&mid=2247496184&idx=1&sn=3e85a216b1f4b1c69811b4064999fdce&chksm=e8dba92adfac203cd521815ef23465a56cd9904d08b6d349c92aad9152f041fdb099752a437a&token=1693301572&lang=zh_CN#rd)
5. [数据地图？地图数据？傻傻分不清楚！](https://mp.weixin.qq.com/s?__biz=MzIzNjM2MDEyNQ==&mid=2247495889&idx=1&sn=e44908c9982f2fd8e2ae6d83c09d3b62&chksm=e8dba803dfac2115425036af859c83fda42ac7cd002b581c138331c6c3c316905536d9a5d560&token=1693301572&lang=zh_CN#rd)
6. [漫说数据湖 | 如何建湖？如何做数据ETL？为什么大数据需要数据湖?](https://mp.weixin.qq.com/s?__biz=Mzk0MTI0OTI1NA==&mid=2247496226&idx=1&sn=348fb82d271e6547403513dc8d67642f&chksm=c2d7f5abf5a07cbdf26f9e0086ced3bcd1038bf3a5fb514515bb498cf242ff4cae2baebe6829&token=1681044289&lang=zh_CN#rd)
7. [图解Git工作原理](https://mp.weixin.qq.com/s?__biz=Mzk0MTI0OTI1NA==&mid=2247496767&idx=1&sn=bc90e1c900da05c53451145eed84438c&chksm=c2d7f3b6f5a07aa0a1160919bf67a624495bd1d7540d2b92790d8ce85545055c92844dc62c13&token=2075738930&lang=zh_CN#rd)
8. [因为一次 Kafka 宕机，我明白了 Kafka 高可用原理！](https://mp.weixin.qq.com/s?__biz=Mzk0MTI0OTI1NA==&mid=2247497226&idx=1&sn=4cf0e2e42e46622d865182aca54648e6&chksm=c2d7f183f5a0789563341bb2026bc59024792c2f5da9301023d116a7a63061b1fdc0cf10de33&token=231732813&lang=zh_CN#rd)
9. [上海有哪些互联网，你都知道么？](https://mp.weixin.qq.com/s?__biz=Mzk0MTI0OTI1NA==&mid=2247496389&idx=1&sn=5b379ed66f353ce2553dc54fdbb998b6&chksm=c2d7f54cf5a07c5afa3088fcc29be0002a3be894cf1e514a19c8aef35c9202a11d417876bcf4&token=2075738930&lang=zh_CN#rd)
10. [抖音的服务器究竟有多大](https://mp.weixin.qq.com/s?__biz=Mzk0MTI0OTI1NA==&mid=2247498445&idx=1&sn=a15073e033f0e74ccdc48a71e6fd884d&chksm=c2d7fd44f5a074528ddbcc0d35359c777b34b3d1d92f42fb6474168a68d762fa02f779337f9e&token=2144993046&lang=zh_CN#rd)





### 🍹 休闲娱乐
1. [假如我是超级卷王 ... ](https://mp.weixin.qq.com/s?__biz=Mzk0MTI0OTI1NA==&mid=2247496630&idx=1&sn=ee9cd0aab500c279938326bf8ae5401c&chksm=c2d7f43ff5a07d2990f8f966078ab254b3d1aa73d83f8875f0dcf597770a047230842c3efa51&token=2075738930&lang=zh_CN#rd)
2. [假如我拥有字节工牌](https://mp.weixin.qq.com/s?__biz=Mzk0MTI0OTI1NA==&mid=2247497195&idx=1&sn=c81d3b138587afde29055651d45e5886&chksm=c2d7f262f5a07b749001a5832573c225df9c743a19add0e4092e86903661280d2ecef839422f&token=231732813&lang=zh_CN#rd)
3. [程序员十二星座行为大赏(请对号入座)](https://mp.weixin.qq.com/s?__biz=Mzk0MTI0OTI1NA==&mid=2247497615&idx=1&sn=8719d3fe0c4f7c6328e452f903b578df&chksm=c2d7f006f5a079105c48ff235e8c8dbf7b412710c778c7b6c3e91390d9a392cd06eb7dd35c6d&token=231732813&lang=zh_CN#rd)


###  🍈 福利

1. [最新Java各知识点综合面试考点+大厂面试题](https://github.com/BigDataScholar/TheKingOfBigData/tree/master/resources/Java%E9%9D%A2%E8%AF%95%E9%A2%98)
2. [上百本免费电子书](https://github.com/BigDataScholar/TheKingOfBigData/tree/master/resources/%E5%85%8D%E8%B4%B9%E7%9A%84%E7%94%B5%E5%AD%90%E4%B9%A6)
3. [大数据高频面试题](https://github.com/BigDataScholar/TheKingOfBigData/tree/master/resources/%E5%A4%A7%E6%95%B0%E6%8D%AE%E9%9D%A2%E8%AF%95%E9%A2%98)
4. [思维导图](https://github.com/BigDataScholar/TheKingOfBigData/tree/master/resources/%E6%80%9D%E7%BB%B4%E5%AF%BC%E5%9B%BE)
5. [简历模板+修改教程](https://github.com/BigDataScholar/TheKingOfBigData/tree/master/resources/%E7%AE%80%E5%8E%86%E6%A8%A1%E6%9D%BF)
6. 持续更新的福利 🚀[「大数据梦想家」学习资料共享](https://shimo.im/docs/C8Y6Jjtw9ryRpVJH)🚀


## 彩蛋

 **我在经历了太多技术群沦落为广告群，水文群，聊天群之后，立志打造一个真正的技术交流社区，于是和我现在的管理成立了「大数据梦想家」技术交流群，希望有更多热爱并渴望学习大数据技术的小伙伴加入到我们的队伍。以下是部分群规，群里设置有严格的制度以及不错的福利制度。** 

 ![图片](https://mmbiz.qpic.cn/sz_mmbiz_png/BFibC8wtke3uxQnibqTIOJwsYIaaApsR0Iyu6s69YPhxwgiaJpKrBSeszRiaqm81N1fEGGde5FMkQqIxgxBSqdibljg/640?wx_fmt=png&tp=webp&wxfrom=5&wx_lazy=1&wx_co=1) 

  

**这是我技术群的福利资料，🚀https://shimo.im/docs/C8Y6Jjtw9ryRpVJH**

 ![图片](https://mmbiz.qpic.cn/sz_mmbiz_png/BFibC8wtke3uxQnibqTIOJwsYIaaApsR0Iueuj35q8DEycscBYoUmp4pVn4tBUUHSF4czfRSSIJsrzuicmscaGWHw/640?wx_fmt=png&tp=webp&wxfrom=5&wx_lazy=1&wx_co=1) 



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