214 lines
19 KiB
Markdown
214 lines
19 KiB
Markdown
# The-King-Of-BigData
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## 友情提示
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> 1. 联系我：如要进群或者有问题咨询，请联系我（备注来自`GitHub`。直接说明问题）
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> 2. 该仓库会持续更新福利干货，记得 star 持续关注!
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<p align="center">
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<a href="https://github.com/BigDataScholar/TheKingOfBigData" target="_blank">
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<img src="https://img-blog.csdnimg.cn/20210210005107102.png" width=""/>
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</a>
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</p>
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<p align="center">
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<a href="#微信" style="text-decoration:none;">
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<img src="https://img.shields.io/badge/WeChat-%E5%85%AC%E4%BC%97%E5%8F%B7-green" alt="公众号" />
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</a>
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<a href="https://www.toutiao.com/c/user/token/MS4wLjABAAAApUaLMY1dYkkFhLGE-dS_wi3ndYleYYTNbtwsQd_Ah8A/" target="_blank" style="text-decoration:none;">
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<img src="https://img.shields.io/badge/toutiao-%E5%A4%B4%E6%9D%A1-red" alt="头条" />
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</a>
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<a href="https://www.zhihu.com/people/a-li-bu-chi-yu-79/posts" target="_blank" style="text-decoration:none;">
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<img src="https://img.shields.io/badge/zhihu-%E7%9F%A5%E4%B9%8E-blue" alt="知乎" />
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</a>
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<a href="https://my.oschina.net/u/4866025" target="_blank" style="text-decoration:none;">
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<img src="https://img.shields.io/badge/oschina-%E5%BC%80%E6%BA%90%E4%B8%AD%E5%9B%BD-green" alt="开源中国" />
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</a>
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<a href="https://juejin.cn/user/1195891544825688/posts" target="_blank" style="text-decoration:none;">
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<img src="https://img.shields.io/badge/juejin-%E6%8E%98%E9%87%91-blue" alt="掘金" />
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</a>
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<a href="https://alice.blog.csdn.net/" target="_blank" style="text-decoration:none;">
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<img src="https://img.shields.io/badge/csdn-CSDN-red" alt="CSDN" />
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</a>
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<a href="https://blog.51cto.com/15105906" target="_blank" style="text-decoration:none;">
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<img src="https://img.shields.io/badge/51cto-51CT0%E5%8D%9A%E5%AE%A2-orange" alt="51CT0博客" />
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</a>
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<a href="https://www.infoq.cn/profile/0E0121AD1CB78F/publish" target="_blank" style="text-decoration:none;">
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<img src="https://img.shields.io/badge/infoq-INFOQ-Chartreuse" alt="INFOQ" />
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</a>
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<img src="https://img.shields.io/github/stars/BigDataScholar/TheKingOfBigData" alt="投稿">
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</p>
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<div> <h3 align="center">King</h3> </div>
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## 文章目录
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> 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！
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### Linux
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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)
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### Shell
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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)
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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)
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### Hadoop
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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)
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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)
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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)
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### Hive
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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)
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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)
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### Spark
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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)
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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)
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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)
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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)
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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)
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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)
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### Flink
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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)
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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)
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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)
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### [大数据实战]电商用户行为数据分析
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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)
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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)
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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)
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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)
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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)
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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)
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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)
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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)
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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)
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### [精品分享]用户画像方法论与工程化解决方案
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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)
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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)
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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)
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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)
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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. [3道常见的SQL笔试题，你要不要来试试](https://github.com/BigDataScholar/TheKingOfBigData/blob/master/note/%E9%9D%A2%E8%AF%95%E6%9D%80%E6%8B%9B/3%E9%81%93%E5%B8%B8%E8%A7%81%E7%9A%84SQL%E7%AC%94%E8%AF%95%E9%A2%98%EF%BC%8C%E4%BD%A0%E8%A6%81%E4%B8%8D%E8%A6%81%E6%9D%A5%E8%AF%95%E8%AF%95.md)
|
||
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)
|
||
|
||
|
||
|
||
### 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)
|
||
|
||
|
||
|
||
### 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)
|
||
|
||
|
||
|
||
|
||
|
||
### 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. ... 更多福利，持续更新，敬请期待！
|
||
|
||
|
||
## 其他
|
||
|
||
### 联系我
|
||
|
||
有任何学习上的疑惑都欢迎添加作者的微信，一起学习，一起交流！
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
### 公众号
|
||
|
||
|
||
如果大家想要实时关注我更新的文章以及分享的干货的话，可以关注我的公众号**大数据梦想家**
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
**欲戴其冠，必承其重！ TheKingOfBigData，We'll carry on ！**
|
||
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