Graph Data Processing with Cypher
A practical guide to building graph traversal queries using the Cypher syntax on Neo4j
Ravindranatha Anthapu
BIRMINGHAM—MUMBAI
Graph Data Processing with Cypher
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ISBN 978-1-80461-107-4
Contributors
About the author
Ravindranatha Anthapu has more than 25 years of experience in working with W3C standards and building cutting-edge technologies, including integrating speech into mobile applications in the 2000s. He is a technology enthusiast who has worked on many projects, from operating system device drivers to writing compilers for C language and modern web technologies, transitioning seamlessly and bringing experience from each of these domains and technologies to deliver successful solutions today. As a principal consultant at Neo4j today, Ravindranatha works with large enterprise customers to make sure they are able to leverage graph technologies effectively across various domains.
About the reviewer
Koji Annoura has over 40 years of experience as a full stack developer. He has been working in Agile software development since 2009 and is one of the founders of the Tokyo Neo4j User Group in Japan.
He is a Neo4j Ninja, Graph Community MVP, and Neo4j Speaker, and he founded the Apache Hop User Group Japan in 2021. He has been involved in the Agile transformation of many companies and teams and has been involved in the implementation of Agile and Scrum. He likes Star Trek (Trekie) and has given presentations about the Klingon language. More information on the Neo4j Ninja program can be found here: https://community.neo4j.com/t5/ninjas-program/ct-p/ninjas.
Sean William Grant is a product and analytics professional with over 20 years of experience in technology and data analysis. His experience ranges from geospatial intelligence with the United States Marine Corps, product management within the aviation and autonomy space, to implementing advanced analytics and data science within organizations. He is a graph data science and network analytics enthusiast who frequently gives presentations and workshops on connected data. He has also been a technical advisor to several early-stage startups. Sean is passionate about data and technology, and how it can elevate our understanding of ourselves.