Graph Algorithms

Practical Examples in Apache Spark and Neo4j
 
 
O'Reilly (Verlag)
  • erschienen am 31. Mai 2019
 
  • Buch
  • |
  • Softcover
  • |
  • 300 Seiten
978-1-4920-4768-1 (ISBN)
 
With this practical guide, developers and data scientists will discover how graph analytics deliver value, whether they're used for building dynamic network models or forecasting real-world behavior.
  • Englisch
  • Sebastopol
  • |
  • USA
  • Höhe: 237 mm
  • |
  • Breite: 177 mm
  • |
  • Dicke: 17 mm
  • 446 gr
978-1-4920-4768-1 (9781492047681)
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Mark Needham is a graph advocate and Developer Relations Engineer at Neo4j. Mark helps users embrace graphs and Neo4j, building sophisticated solutions to challenging data problems. Mark has deep expertise in graph data having previously helped to build Neo4j's Causal Clustering system. Mark writes about his experiences of being a graphista on a popular blog at markhneedham.com.

Amy Hodler is a network science devotee and AI and Graph Analytics Program Manager at Neo4j. She promotes the use of graph analytics to reveal structures within real-world networks and predict dynamic behavior. Amy helps teams apply novel approaches to generate new opportunities at companies such as EDS, Microsoft, Hewlett-Packard (HP), Hitachi IoT, and Cray Inc. Amy has a love for science and art with a fascination for complexity studies and graph theory.

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