12.1 Spark概述 12.2 Spark生态系统 12.3 Spark运行架构 12.3 Spark SQL 12.3 Spark的部署和应用方式

spark介绍-蘑菇街.pdf

Spark部署中的关键问题解决之道--许鹏.pdf

A Web Application for Interactive Data Analysis with Spark

A Web Application for Interactive Data Analysis with Spark

Interface Design for Spark Community by Reynold Xin.pdf

基于Spark的支持隐私保护的聚类算法.pdf

sparkdemo_202108.7z

We designed this book mainly for data scientists and data engineers looking to use Apache Spark. The two roles have slightly different needs, but in reality, most application development covers a bit of both, so we think the material will be useful in both cases. Specifically, in our minds, the data scientist workload focuses more on interactively querying data to answer questions and build statistical models, while the data engineer job focuses on writing maintainable, repeatable production applications-either to use the data scientist’s models in practice, or just to prepare data for further analysis (e.g., building a data ingest pipeline). However, we often see with Spark that these roles blur. For instance, data scientists are able to package production applications without too much hassle and data engineers use interactive analysis to understand and inspect their data to build and maintain pipelines.

BigCLAM-ApacheSpark：使用基于Apache Spark的BigCLAM模型在大型网络中进行社区检测重叠