jacksu/utils4s

KeyStoneML KeystoneML is a software framework, written in Scala, from the UC Berkeley AMPLab designed to simplify the construction of large scale, end-to-end, machine learning pipelines with Apache Spark.

spark TS

Spark zeppelin

Z-Manager--Simplify getting Zeppelin up and running

zeppelin--a web-based notebook that enables interactive data analytics. You can make beautiful data-driven, interactive and collaborative documents with SQL, Scala and more.

helium--Brings Zeppelin to data analytics application platform

Spark 其它

spark专题在简书

databricks spark知识库

spark学习知识总结

Spark library for doing exploratory data analysis in a scalable way

图处理(cassovary)

基于spark进行地理位置分析(gagellan)

spark summit east 2016 ppt

ES

ES 非阻塞scala客户端

Beam

[Apache Beam：下一代的数据处理标准](http://geek.csdn.net/news/detail/134167)

贡献代码步骤

1. 首先 fork 我的项目 2. 把 fork 过去的项目也就是你的项目 clone 到你的本地 3. 运行 git remote add jacksu git@github.com:jacksu/utils4s.git 把我的库添加为远端库 4. 运行 git pull jacksu master 拉取并合并到本地 5. coding 6. commit后push到自己的库( git push origin master ) 7. 登陆Github在你首页可以看到一个 pull request 按钮,点击它,填写一些说明信息,然后提交即可。 1~3是初始化操作,执行一次即可。在coding前必须执行第4步同步我的库(这样避免冲突),然后执行5~7既可。

贡献者

[jjcipher](https://github.com/jjcipher)

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jacksu/utils4s

utils4s

scala语法学习

common库

BigData库

Spark

Spark core

Spark Streaming

Spark SQL

Spark 机器学习

Spark zeppelin

Spark 其它

ES

Beam

贡献代码步骤

贡献者