# liguozhong/demo\_11.11\_storm-spark-hadoop

<https://repo.masters-masters.com/en/repos/liguozhong/demo_11.11_storm-spark-hadoop>

[Home](https://repo.masters-masters.com/en) › [liguozhong](https://repo.masters-masters.com/en/owners/liguozhong) › [demo\_11.11\_storm-spark-hadoop](https://repo.masters-masters.com/en/repos/liguozhong/demo_11.11_storm-spark-hadoop)

liguozhong/demo\_11.11\_storm-spark-hadoop has 327 stars on GitHub. Its RepoMasters card: Alpha tier. hadoop\_storm\_spark结合实验的例子，模拟淘宝双11节，根据订单详细信息，汇总出总销售量，各个省份销售排…

| Field | Value |
| --- | --- |
| Owner | [liguozhong](https://repo.masters-masters.com/en/owners/liguozhong) |
| Stars | 327 |
| Forks | 204 |
| Language | [Java](https://repo.masters-masters.com/en/languages/java) |
| License | None |
| Created | 2014 |
| Tier | [Alpha (250 to 699 ★)](https://repo.masters-masters.com/en/ranks/b_movie) |
| View on GitHub | [liguozhong/demo\_11.11\_storm-spark-hadoop](https://github.com/liguozhong/demo_11.11_storm-spark-hadoop) |

## Repository

hadoop\_storm\_spark结合实验的例子，模拟淘宝双11节，根据订单详细信息，汇总出总销售量，各个省份销售排行，以及后期的SQL分析，数据分析，数据挖掘等。 --------大概流程------- 第一阶段（storm实时报表） 第二阶段（离线报表）第三阶段（大规模订单即席查询,和多维度查询） 第四阶段（数据挖掘和图计算）

The tier for repos with 250 to 699 ★. Published odds per card pulled: 20%. Rarity: Uncommon.

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