[电子书]Mastering Spark for Data Science PDF下载

　　本书由Andrew Morgan所著，全书共560页；Packt Publishing出版社于2017年03月出版。通过本书你将学习到以下的知识：
　　1、Learn the design patterns that integrate Spark into industrialized data science pipelines
　　2、See how commercial data scientists design scalable code and reusable code for data science services
　　3、Explore cutting edge data science methods so that you can study trends and causality
　　4、Discover advanced programming techniques using RDD and the DataFrame and Dataset APIs
　　5、Find out how Spark can be used as a universal ingestion engine tool and as a web scraper
　　6、Practice the implementation of advanced topics in graph processing, such as community detection and contact chaining
　　7、Get to know the best practices when performing Extended Exploratory Data Analysis, commonly used in commercial data science teams
　　8、Study advanced Spark concepts, solution design patterns, and integration architectures
　　9、Demonstrate powerful data science pipelines

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本书的章节

1 THE BIG DATA SCIENCE ECOSYSTEM
2 DATA ACQUISITION
3 INPUT FORMATS AND SCHEMA
4 EXPLORATORY DATA ANALYSIS
5 SPARK FOR GEOGRAPHIC ANALYSIS
6 SCRAPING LINK-BASED EXTERNAL DATA
7 BUILDING COMMUNITIES
8 BUILDING A RECOMMENDATION SYSTEM
9 NEWS DICTIONARY AND REAL-TIME TAGGING SYSTEM
10 STORY DE-DUPLICATION AND MUTATION
11 ANOMALY DETECTION ON SENTIMENT ANALYSIS
12 TRENDCALCULUS
13 SECURE DATA
14 SCALABLE ALGORITHMS