_weave-together-graph-and-relational-data-in-apache-spark-david-allen-amy-e-hodler-neo4j.jpg "Weave Together Graph and Relational Data in Apache Spark David Allen + Amy E. Hodler (Neo4J) from definition of relational database Video Screenshot Preview")
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⏲ Duration: 15 min 4 sec
✓ Published: 11-Jun-2018
✓ Published: 11-Jun-2018
Description:
Graphs are a powerful and flexible way of doing data analysis and integration. The Cypher query language (akin to SQL for graphs) which is already implemented in systems like Neo4j, SAP HANA Graph and Redis Graph, allows for intuitive definition of graph patterns including structural and semantic predicates. Cypher can also be used to express complex data integration patterns within many Spark programs. To bring the benefits of Cypher from the graph database realm into the world of Big Data, Neo
Graphs are a powerful and flexible way of doing data analysis and integration. The Cypher query language (akin to SQL for graphs) which is already implemented in systems like Neo4j, SAP HANA Graph and Redis Graph, allows for intuitive definition of graph patterns including structural and semantic predicates. Cypher can also be used to express complex data integration patterns within many Spark programs. To bring the benefits of Cypher from the graph database realm into the world of Big Data, Neo
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