图书标签: Spark 大数据 数据挖掘 分布式 Big_Data 软件工程 程序员 Programming
发表于2024-12-24
Spark in Action pdf epub mobi txt 电子书 下载 2024
Working with big data can be complex and challenging, in part because of the multiple analysis frameworks and tools required. Apache Spark is a big data processing framework perfect for analyzing near-real-time streams and discovering historical patterns in batched data sets. But Spark goes much further than other frameworks. By including machine learning and graph processing capabilities, it makes many specialized data processing platforms obsolete. Spark's unified framework and programming model significantly lowers the initial infrastructure investment, and Spark's core abstractions are intuitive for most Scala, Java, and Python developers.
Spark in Action teaches you to use Spark for stream and batch data processing. It starts with an introduction to the Spark architecture and ecosystem followed by a taste of Spark's command line interface. You then discover the most fundamental concepts and abstractions of Spark, particularly Resilient Distributed Datasets (RDDs) and the basic data transformations that RDDs provide. The first part of the book also introduces you to writing Spark applications using the the core APIs. Next, you learn about different Spark components: how to work with structured data using Spark SQL, how to process near-real time data with Spark Streaming, how to apply machine learning algorithms with Spark MLlib, how to apply graph algorithms on graph-shaped data using Spark GraphX, and a clear introduction to Spark clustering.
Marko Bonaći has worked with Java for 13 years. He currently works as IBM Enterprise Content Management team lead at SV Group. Petar Zečević is a CTO at SV Group. During the last 14 years he has worked on various projects as a Java developer, team leader, consultant and software specialist. He is the founder and, with Marko, organizer of popular Spark@Zg meetup group.
对于我这种没做过大数据项目的人做入门还不错。 两章讲ML的都看不太明白了,是该复习一下基础知识
评分对于我这种没做过大数据项目的人做入门还不错。 两章讲ML的都看不太明白了,是该复习一下基础知识
评分对于我这种没做过大数据项目的人做入门还不错。 两章讲ML的都看不太明白了,是该复习一下基础知识
评分对于我这种没做过大数据项目的人做入门还不错。 两章讲ML的都看不太明白了,是该复习一下基础知识
评分对于我这种没做过大数据项目的人做入门还不错。 两章讲ML的都看不太明白了,是该复习一下基础知识
首先是翻译感觉不是很流畅,很多术语翻译的不太对。对spark的组件,或者提交任务之后的整体流程讲得不够细致,每个知识点都是浅尝辄止。有点遗憾 在看对应章节的时候,可以配合官方文档或者是博客去深入。也可以辅助看其他书,例如hadoop权威指南 附录讲mapreduce的部分原本以...
评分原著可以,但是翻译是陀翔,例如:第五章介绍dataframe的表元数据时:surviving Spark context restarts 翻译成‘幸存的上下文重新启动’,原文的意思是spark重启后表元数据还存在,书中类似不经大脑的机械翻译到处都是,正如译者在前言中说的一样,您真对不起你的老公和孩子,...
评分原著可以,但是翻译是陀翔,例如:第五章介绍dataframe的表元数据时:surviving Spark context restarts 翻译成‘幸存的上下文重新启动’,原文的意思是spark重启后表元数据还存在,书中类似不经大脑的机械翻译到处都是,正如译者在前言中说的一样,您真对不起你的老公和孩子,...
评分原著可以,但是翻译是陀翔,例如:第五章介绍dataframe的表元数据时:surviving Spark context restarts 翻译成‘幸存的上下文重新启动’,原文的意思是spark重启后表元数据还存在,书中类似不经大脑的机械翻译到处都是,正如译者在前言中说的一样,您真对不起你的老公和孩子,...
评分首先是翻译感觉不是很流畅,很多术语翻译的不太对。对spark的组件,或者提交任务之后的整体流程讲得不够细致,每个知识点都是浅尝辄止。有点遗憾 在看对应章节的时候,可以配合官方文档或者是博客去深入。也可以辅助看其他书,例如hadoop权威指南 附录讲mapreduce的部分原本以...
Spark in Action pdf epub mobi txt 电子书 下载 2024