Learning Spark: Lightning-Fast Big Data Analysis 中文翻譯

標籤：

Learning Spark: Lightning-Fast Big Data Analysis 中文翻譯行為純屬個人對於Spark的興趣，僅供學習。

如果我的翻譯行為侵犯您的著作權，請您告知，我將停止對此書的開源翻譯。

Translation the book of Learning Spark: Lightning-Fast Big Data Analysis is only for spark developer educational purposes. If I violated your copyright, please let me know.

 

Learning Spark 英文原版

Learning Spark: Lightning-Fast Big Data Analysis  http://shop.oreilly.com/product/0636920028512.do

在 databricks 官網上發布了此書的優惠碼（promo code: BWORM），在購買時別忘了使用省銀子。 https://databricks.com/spark/developer-resources

 

中文翻譯

GitHub: https://github.com/gaoxuesong/learning-spark-lightning-fast-big-data-analysis

GitBook: http://xuesong.gitbooks.io/learningspark/

GitBook is a tool for building beautiful books using Git and Markdown. It can generate your book in multiple formats: PDF, ePub, mobi or as a website.

GitHub上分享了中文翻譯的PDF版和原書源碼，GitBook則可分享中文翻譯的多種檔案格式（PDF, ePub, mobi and website）。

目前此書的翻譯進度由我的業餘空餘時間和興趣所決定，無法預知翻譯的結束時間和進度表。另外對於此書的翻譯只關注技術部分，因此翻譯從第二章開始。

Examples for Learning Spark

codes https://github.com/gaoxuesong/learning-spark/  forked from https://github.com/databricks/learning-spark

About the Orignal Author

About the Orignal Author

Holden Karau is a software development engineer at Databricks and is active in open source. She is the author of an earlier Spark book. Prior to Databricks she worked on a variety of search and classification problems at Google, Foursquare, and Amazon. She graduated from the University of Waterloo with a Bachelors of Mathematics in Computer Science. Outside of software she enjoys playing with fire, welding, and hula hooping.

Most recently, Andy Konwinski co-founded Databricks. Before that he was a PhD student and then postdoc in the AMPLab at UC Berkeley, focused on large scale distributed computing and cluster scheduling. He co-created and is a committer on the Apache Mesos project. He also worked with systems engineers and researchers at Google on the design of Omega, their next generation cluster scheduling system. More recently, he developed and led the AMP Camp Big Data Bootcamps and first Spark Summit, and has been contributing to the Spark project.

Patrick Wendell is an engineer at Databricks as well as a Spark Committer and PMC member. In the Spark project, Patrick has acted as release manager for several Spark releases, including Spark 1.0. Patrick also maintains several subsystems of Spark‘s core engine. Before helping start Databricks, Patrick obtained an M.S. in Computer Science at UC Berkeley. His research focused on low latency scheduling for large scale analytics workloads. He holds a B.S.E in Computer Science from Princeton University

Matei Zaharia is the creator of Apache Spark and CTO at Databricks. He holds a PhD from UC Berkeley, where he started Spark as a research project. He now serves as its Vice President at Apache. Apart from Spark, he has made research and open source contributions to other projects in the cluster computing area, including Apache Hadoop (where he is a committer) and Apache Mesos (which he also helped start at Berkeley).

Learning Spark: Lightning-Fast Big Data Analysis 中文翻譯