December 2022
Intermediate to advanced
332 pages
6h 35m
English
Content preview from Graph Data Processing with Cypher
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3
Loading Data with Cypher
To load data into a graph, we need to understand how to map the source data to a graph model. In this chapter, we will discuss mapping the source data to a graph model, what decisions drive the graph model, and how to load the data into this model. In the last chapter, we looked at Cypher syntax and what queries can be used to create, update, or delete nodes, relationships, and properties. We will use these patterns to map the CSV files to a graph model as we go through each file and build Cypher queries to load this data in a transactional manner.
Neo4j is an ACID-compliant database. To load data into Neo4j, we would need to leverage transactions similar to those in an RDBMS, and Cypher is the query language we use ...
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