- Apache Spark Graph Processing
- Rindra Ramamonjison
- 143字
- 2021-07-16 20:03:52
Distinctive features
The focus of this book is on large-scale graph processing with Apache Spark. The book teaches a variety of graph processing abstractions and algorithms and provides concise and sufficient information about them. You can confidently learn all of it and put it to use in different applications.
- Step-by-step guide: Each chapter teaches important techniques for every stage of the pipeline, from loading and transforming graph data to implementing graph-parallel operations and machine learning algorithms.
- Hands-on approach: We show how each technique works using the Scala REPL with simple examples and by building standalone Spark applications.
- Detailed code: All the Scala code in the book is available for download from the book webpage of Packt Publishing.
- Real-world examples: We apply these techniques on open datasets collected from a broad variety of applications ranging from social networks to food science and sports analytics.
推薦閱讀
- Implementing Modern DevOps
- TypeScript入門與實戰
- Functional Programming in JavaScript
- C語言程序設計案例精粹
- 計算機應用基礎實踐教程
- Mastering openFrameworks：Creative Coding Demystified
- Java 9 Programming By Example
- Java程序設計
- 信息學奧林匹克競賽初賽精講精練
- Spring Boot學習指南：構建云原生Java和Kotlin應用程序
- Improving your Penetration Testing Skills
- Python編程基礎與數據分析
- PostGIS Cookbook
- Python for Secret Agents
- Android程序設計：第2版