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You're reading from  Hands-On Graph Analytics with Neo4j

Product typeBook
Published inAug 2020
PublisherPackt
ISBN-139781839212611
Edition1st Edition
Tools
Neo4j
Concepts
Database Programming
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Author (1)
Estelle Scifo
Estelle Scifo
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Estelle Scifo

Estelle Scifo possesses over 7 years experience as a data scientist, after receiving her PhD from the Laboratoire de lAcclrateur Linaire, Orsay (affiliated to CERN in Geneva). As a Neo4j certified professional, she uses graph databases on a daily basis and takes full advantage of its features to build efficient machine learning models out of this data. In addition, she is also a data science mentor to guide newcomers into the field. Her domain expertise and deep insight into the perspective of the beginners needs make her an excellent teacher.
Read more about Estelle Scifo

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Configuring Neo4j 4.0 for big data

Neo4j 4.0 was announced in February 2020. Among other new features, it is the first version that supports sharding to split a graph across several servers. We will discuss this further in the following section. First, let's review some basic settings that can improve Neo4j's performance before thinking about complex solutions.

The landscape prior to Neo4j 4.0

Neo4j 3.x is already an incredibly powerful database that can manage billions of nodes and relationships. One of the first settings you learn to tune when getting the Neo4j certification is the allocated memory.

Memory settings

Memory is configured by several settings in the neo4j.conf file. The default values are quite low and it is often recommended to increase them, depending on your data and usage. Neo4j has a utility script that's used to estimate the memory required by your graph instance. The script is located in the bin directory of your $NEO4J_HOME path. When using Neo4j...

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Hands-On Graph Analytics with Neo4j
Published in: Aug 2020Publisher: PacktISBN-13: 9781839212611
© 2020 Packt Publishing Limited All Rights Reserved

Author (1)

author image
Estelle Scifo

Estelle Scifo possesses over 7 years experience as a data scientist, after receiving her PhD from the Laboratoire de lAcclrateur Linaire, Orsay (affiliated to CERN in Geneva). As a Neo4j certified professional, she uses graph databases on a daily basis and takes full advantage of its features to build efficient machine learning models out of this data. In addition, she is also a data science mentor to guide newcomers into the field. Her domain expertise and deep insight into the perspective of the beginners needs make her an excellent teacher.
Read more about Estelle Scifo

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