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大数据全栈学习【生态组件，技术栈，数据流，数据仓库，数据库，指标体系，血缘关系，元数据管理，数据质量，DataWorks，Hadoop，Spark，Flink，面试，笔记文档，实战练习，公共脚本，常用Shell脚本，Java，Scala，离线，实时，采集，计算，存储，可视化】

Java 17.36% Scala 5.17% Shell 75.80% Python 0.16% Batchfile 0.70% Awk 0.09% Vim Script 0.72%

superbigdata's Introduction

SuperBigData

大数据全栈学习【又名超级大数据项目】

大数据架构图

https://github.com/al1020119/SuperBigData/blob/master/.images/大数据平台架构图v3.5.png

大数据数据流

https://github.com/al1020119/SuperBigData/blob/master/.images/架构.jpg

模块

1. collection【生态组件集合模块】
2. apache-spark【Spark模块】
3. apache-flink-java【Flink Java模块】
4. apache-flink-scala【Flink Scala模块】
5. compute【计算层】
6. storage【存储层】
7. visual【可视化层】
8. warehouse【数据仓库】
9. services【服务模块】
10. off-line【离线模块】
11. real-time【实时模块】
12. common【公共模块】
13. producer【生产者】

superbigdata's People

Contributors

al1020119 avatar

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