Preface
This book is intended to present the GraphX library for Apache Spark and to teach the fundamental techniques and recipes to process graph data at scale. It is intended to be a self-study step-by-step guide for anyone new to Spark with an interest in or need for large-scale graph processing.
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 ...
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