December 2022
Intermediate to advanced
332 pages
6h 35m
English
Content preview from Graph Data Processing with Cypher
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11
Cypher Ecosystem
In the previous chapters, we looked at all the aspects of querying graph databases using Cypher. This chapter focuses on the Cypher ecosystem. You will be introduced to a selection of tools and packages available for more advanced data processing, along with visualizing the results as graphs, tables, and more.
We will look at the following topics in this chapter:
- Using Neo4j extensions
- Using visualization tools
- Using Kafka and Spark connectors
- Using Graph Data Science
- Using Neo4j Workspace
First, we will take a look at the Neo4j extensions.
Using Neo4j extensions
While Cypher is a very powerful language for expressing graph traversal in a simple manner, it is difficult to implement complex graph analytics or handle different ...
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