Graph Algorithms: Practical Examples in Apache Spark and Neo4j (PDF)

“Graph Algorithms: Practical Examples in Apache Spark and Neo4j” is a book written by Mark Needham and Amy E. Hodler. The book is designed to help developers learn how to use graph algorithms to solve complex problems in big data using Apache Spark and Neo4j, two popular technologies for processing large datasets.

The book covers a wide range of graph algorithms, including centrality algorithms, community detection, and pathfinding algorithms. It also provides practical examples and case studies that demonstrate how to apply these algorithms to real-world problems.

One of the key strengths of “Graph Algorithms” is its focus on practical application. The book includes hands-on exercises and code examples that allow readers to apply what they’ve learned in real-world situations. This helps to reinforce the concepts and build confidence in their skills.

The book also includes a comprehensive reference section that provides detailed information on graph algorithms, Apache Spark, and Neo4j. This makes it easy to look up specific information and quickly find the answers you need.

Throughout the book, Needham and Hodler provide clear explanations and examples, making it easy to understand even the most complex concepts. They also include tips for optimizing performance, troubleshooting common problems, and working with large datasets.

Whether you’re a beginner just getting started with graph algorithms or an experienced developer looking to learn more advanced topics, “Graph Algorithms: Practical Examples in Apache Spark and Neo4j” is an invaluable resource. With its focus on practical application and comprehensive reference material, this book is sure to help you become a more effective and efficient developer using Apache Spark and Neo4j.