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storm核心概念详解

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> 大数据常用技术栈学习之路 — — 持续更新中
> Java 程序员的大数据学习之路 — — 持续更新中
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<th><img width="50px" src="https://github.com/heibaiying/BigData-Notes/blob/master/pictures/hive.jpg"></th>
<th><img width="50px" src="https://github.com/heibaiying/BigData-Notes/blob/master/pictures/spark.jpg"></th>
<th><img width="50px" src="https://github.com/heibaiying/BigData-Notes/blob/master/pictures/flink.png"></th>
<th><img width="50px" src="https://github.com/heibaiying/BigData-Notes/blob/master/pictures/storm.png"></th>
<th><img width="50px" src="https://github.com/heibaiying/BigData-Notes/blob/master/pictures/flume.png"></th>
<th><img width="50px" src="https://github.com/heibaiying/BigData-Notes/blob/master/pictures/oozie.jpg"></th>
<th><img width="50px" src="https://github.com/heibaiying/BigData-Notes/blob/master/pictures/sqoop.png"></th>
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<td align="center"><a href="#二hive">Hive</a></td>
<td align="center"><a href="#三spark">Spark</a></td>
<td align="center"><a href="#四flink">Flink</a></td>
<td align="center"><a href="#五flume">Flume</a></td>
<td align="center"><a href="#六oozie">Oozie</a></td>
<td align="center"><a href="#七sqoop">Sqoop</a></td>
<td align="center"><a href="#八azkaban">Azkaban</a></td>
<td align="center"><a href="#九hbase">Hbase</a></td>
<td align="center"><a href="#十kafka">Kafka</a></td>
<td align="center"><a href="#十一zookeeper">Zookeeper</a></td>
<td align="center"><a href="#十二scala">Scala</a></td>
<td align="center"><a href="#五storm">storm</a></td>
<td align="center"><a href="#六flume">Flume</a></td>
<td align="center"><a href="#七oozie">Oozie</a></td>
<td align="center"><a href="#八sqoop">Sqoop</a></td>
<td align="center"><a href="#九azkaban">Azkaban</a></td>
<td align="center"><a href="#十hbase">Hbase</a></td>
<td align="center"><a href="#十一kafka">Kafka</a></td>
<td align="center"><a href="#十二zookeeper">Zookeeper</a></td>
<td align="center"><a href="#十三scala">Scala</a></td>
</tr>
</table>
> 本仓库涉及的所有软件的详细搭建步骤整理至：[linux下大数据常用软件安装指南](https://github.com/heibaiying/BigData-Notes/blob/master/notes/linux下大数据常用软件安装指南.md)
> 本仓库涉及的所有软件的详细搭建步骤整理至：[Linux下大数据常用软件安装指南](https://github.com/heibaiying/BigData-Notes/blob/master/notes/Linux下大数据常用软件安装指南.md)
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## 二、Hive
1. [数据仓库——Hive](https://github.com/heibaiying/BigData-Notes/blob/master/notes/Hive.md)
1. [数据仓库Hive](https://github.com/heibaiying/BigData-Notes/blob/master/notes/Hive.md)
## 三、Spark
1. RDD详解
2. Spark Transformation 和 Action
## 四、Flink
## 五、Flume
## 六、Oozie
## 七、Sqoop
## 八、Azkaban
## 九、Hbase
## 十、Kafka
## 十一、Zookeeper
## 十二、Scala
## 五、Storm
1. [storm核心概念详解](https://github.com/heibaiying/BigData-Notes/blob/master/notes/Storm核心概念详解.md)
## 六、Flume
## 七、Oozie
## 八、Sqoop
## 九、Azkaban
## 十、Hbase
## 十一、Kafka
## 十二、Zookeeper
## 十三、Scala