2016-03-10 最后更新时间:
写在前面
本系列是综合了自己在学习spark过程中的理解记录 ＋ 对参考文章中的一些理解 ＋ 个人实践spark过程中的一些心得而来。写这样一个系列仅仅是为了梳理个人学习spark的笔记记录，所以一切以能够理解为主，没有必要的细节就不会记录了，而且文中有时候会出现英文原版文档，只要不影响理解，都不翻译了。若想深入了解，最好阅读参考文章和官方文档。
其次，本系列是基于目前最新的 spark 1.6.0 系列开始的，spark 目前的更新速度很快，记录一下版本号还是必要的。
最后，如果各位觉得内容有误，欢迎留言备注，所有留言 24 小时内必定回复，非常感谢。
Tips: 如果插图看起来不明显，可以：1. 放大网页；2. 新标签中打开图片，查看原图哦。
1. 书籍
2. 网站
3. 文章，博客
4. 视频
- YouTube: what is apache spark
- Top 5 Mistakes When Writing Spark Applications
- Tuning and Debugging Apache Spark
- A Deeper Understanding of Spark Internals – Aaron Davidson (Databricks)
slideA Deeper Understanding of Spark Internals – Aaron Davidson (Databricks)- Building, Debugging, and Tuning Spark Machine Learning Pipelines – Joseph Bradley (Databricks)
slideBuilding, Debugging, and Tuning Spark Machine Learning Pipelines- Spark DataFrames Simple and Fast Analysis of Structured Data – Michael Armbrust (Databricks)
slideSpark DataFrames Simple and Fast Analysis of Structured Data – Michael Armbrust (Databricks)- Spark Tuning for Enterprise System Administrators
- Structuring Spark: DataFrames, Datasets, and Streaming
slideStructuring Spark: DataFrames, Datasets, and Streaming- Spark in Production: Lessons from 100+ Production Users
slideSpark in Production: Lessons from 100+ Production Users- Production Spark and Tachyon use Cases
- SparkUI Visualization
- Everyday I’m Shuffling – Tips for Writing Better Spark Programs, Strata San Jose 2015
slideEveryday I’m Shuffling – Tips for Writing Better Spark Programs, Strata San Jose 2015- Securing your Spark Applications
- Building a REST Job Server for Interactive Spark as a Service
slideBuilding a REST Job Server for Interactive Spark as a Service- Exploiting GPUs for Columnar DataFrame Operations
- Easy JSON Data Manipulation in Spark – Yin Huai (Databricks)
slideEasy JSON Data Manipulation in Spark – Yin Huai (Databricks)- Sparkling: Speculative Partition of Data for Spark Applications – Peilong Li
slideSparkling: Speculative Partition of Data for Spark Applications – Peilong Li- Advanced Spark Internals and Tuning – Reynold Xin
- The Future of Real Time in Spark
- Spark 2 0
- Democratizing Access to Data
- Not Your Father’s Database: How to Use Apache Spark Properly in Your Big Data Architecture
slideNot Your Father’s Database: How to Use Apache Spark Properly in Your Big Data Architecture
5. next
上面的资源我都会不断更新的，里面 80% 以上的都是我亲自看过并且觉得有价值的，可不是胡乱收集一通的，推荐欣赏哦。
