- 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.
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