Resource link:
Link:/s/1bj5iuivya6z6mrrwlrup2pq
Password: 96vs Topic: Spark Big Data Analysis
Author: Gao
Douban score: 5.2
Press: Machinery Industry Press
Publication year: 20 16- 1- 1
Page number: 2 13
Content introduction:
Chapter 1 of this book * *11:Chapter 1 ~ 3 mainly introduces the basic concept, programming model, development and deployment method of Spark; Chapter 4 ~ 1 1 explains in detail the application and algorithm of core knowledge points such as hot news analysis system, log data analysis based on cloud platform, sentiment analysis system and search engine link analysis system.
About the author:
Gao, graduated from Renmin University of China, works for Microsoft Research Asia. Open source technology enthusiasts have in-depth understanding and research on open source big data systems and technologies such as spark, and have rich practical experience. Contact and use spark earlier, familiar with spark application development, running and testing of spark system, deeply reading the source code of spark, understanding the operating mechanism of spark, and being good at spark query optimization.
He has written the best-selling book Spark Big Data Processing: Technology, Application and Performance Optimization.
Ni, Ph.D. student in Automation Department of Tsinghua University, worked as an intern in Microsoft Research Asia and IBM Research Institute. He has in-depth research and rich practical experience in large-scale recommendation system and machine learning algorithm.