This project forked from yuan-more/bigdata
大数据学习，大数据详细文档，包括框架的简介，安装，使用，原理等
可按照如下顺序进行学习（涵盖ETL、数仓、开发等岗位）
hadoop -> zookeeper -> hive -> flume && sqoop -> azkaban && oozie -> 数仓建模理论+实践 -> hbase -> redis -> kafka -> elk -> scala -> spark -> kylin -> flink -> 实时数仓项目
以上为大数据学习必备知识！！！
学完以上技能后，有时间还需要学习比较流行的 OLAP 查询引擎
Impala 、 Presto、Druid 、 Kudu 、 ClickHouse 、 Doris
如果还有时间，可以学习数据治理相关的内容，如元数据管理，数据湖等
Atlas 、 Hudi
注：文档中涉及的资料及安装包下载地址都在文档对应的文件夹下
hbase详细文档-基础、原理、调优 (暂未发布，即将完成，敬请期待)
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