BigData-Notes

大数据常用技术栈学习之路——2019起步

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    <th><img width="50px" src="https://timgsa.baidu.com/timg?image&quality=80&size=b9999_10000&sec=1552194053008&di=788a7e2d1302bcd2f02a4a084401a6af&imgtype=jpg&src=http%3A%2F%2Fimg4.imgtn.bdimg.com%2Fit%2Fu%3D3371625264%2C3832816016%26fm%3D214%26gp%3D0.jpg"></th>
  </tr>
  <tr>
    <td align="center">Hadoop</td>
    <td align="center">Hive</td>
    <td align="center">Spark</td>
    <td align="center">Flume</td>
    <td align="center">Oozie</td>
    <td align="center">Sqoop</td>
    <td align="center">Azkaban</td>
    <td align="center">Hbase</td>
    <td align="center">Kafka</td>
    <td align="center">Zookeeper</td>
    <td align="center">Scala</td>
    
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</table>

一、Hadoop

二、Hive

三、Spark

四、Flume

五、Oozie

六、Sqoop

七、Azkaban

八、Hbase

九、Kafka

十、Zookeeper

十一、Scala