欢迎大家赞助一杯啤酒🍺 我们准备了下酒菜：Formal mathematics/Isabelle/ML, Formal verification/Coq/ACL2, C++/F#/Lisp
Big data
来自开放百科 - 灰狐
（版本间的差异）
小 (→链接) |
小 (→链接) |
||
| 第27行： | 第27行： | ||
*[https://github.com/youngwookim/awesome-hadoop Awesome Hadoop] [[image:awesome.png]] | *[https://github.com/youngwookim/awesome-hadoop Awesome Hadoop] [[image:awesome.png]] | ||
*[https://github.com/igorbarinov/awesome-data-engineering Awesome Data Engineering] [[image:awesome.png]] | *[https://github.com/igorbarinov/awesome-data-engineering Awesome Data Engineering] [[image:awesome.png]] | ||
| + | *[https://github.com/izenecloud/big-data-made-easy Big Data Made Easy] | ||
*[http://www.csdn.net/article/2013-02-21/2814222-Facebook_big_data_team Facebook背后的数据团队] | *[http://www.csdn.net/article/2013-02-21/2814222-Facebook_big_data_team Facebook背后的数据团队] | ||
以下链接有几百个大数据幻灯片资料，大家可参考下： | 以下链接有几百个大数据幻灯片资料，大家可参考下： | ||
| 第40行： | 第41行： | ||
[[category:big data]] | [[category:big data]] | ||
| + | [[category:hadoop]] | ||
2016年3月20日 (日) 14:43的版本
|
您可以在Wikipedia上了解到此条目的英文信息 Big data Thanks, Wikipedia. |
big data 大数据
Apache Spark、Apache Hadoop 在大数据领域占据核心位置。
目录 |
文档
- Securing Your Big Data Environment
- Securing the Big Data Ecosystem
- Harnessing Big Data for Application Security Intelligence
- Security Business Intelligence– Big Data for Faster Detection/Response
- MADlib: Big Data Machine Learning in PostgreSQL
课程
图集
MADlib
链接
- Awesome Big Data
- Awesome Public Datasets
- Awesome Hadoop
- Awesome Data Engineering
- Big Data Made Easy
- Facebook背后的数据团队
以下链接有几百个大数据幻灯片资料，大家可参考下：
- http://docs.huihoo.com/big-data/
- http://docs.huihoo.com/apache/spark/summit/
- http://docs.huihoo.com/oreilly/conferences/strataconf/
- 100 open source Big Data architecture papers for data professionals
- AWS Big Data Blog
- 2015 Bossie评选：最佳开源大数据工具
- MADlib: Big Data Machine Learning in SQL for Data Scientists
- IBM大数据和分析技术专题
- 华为大数据分析
分享您的观点
