Free O’Reilly Book: Graph Algorithms in Apache Spark and Neo4j
Blog post from Neo4j
Global Graph Celebration Day marks the birthday of Leonhard Euler, the founder of graph theory, with over 60 worldwide events, and coincides with the release of the O'Reilly book "Graph Algorithms: Practical Examples in Apache Spark & Neo4j." This book aims to simplify the adoption of graph analytics, which historically required significant expertise, by providing practical examples and guidance on using graph algorithms for predictive analytics. It is designed for developers and data scientists to enhance machine learning models and develop intelligent solutions by leveraging the inherent relationships in data. The book offers insights into over 20 graph algorithms, including pathfinding, centrality, and community detection, with sample codes and datasets for Apache Spark and Neo4j. The authors emphasize the power of graph algorithms in revealing predictive elements in data and offer practical advice on avoiding common pitfalls, ultimately aiming to empower users to extract more value from their datasets.
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