Data2Neo - A Tool for Complex Neo4j Data Integration
Julian Minder, Laurence Brandenberger, Luis Salamanca, Frank, Schweitzer
TL;DR
Data2Neo is an open-source Python tool that simplifies converting relational data into Neo4j knowledge graphs, supporting customization, online integration, and scalability to facilitate broader adoption.
Contribution
It introduces a user-friendly, scalable Python library for transforming relational data into knowledge graphs with online data integration capabilities.
Findings
Enables efficient conversion of relational data to Neo4j graphs.
Supports continuous online data integration from multiple sources.
Reduces barriers for creating and using knowledge graphs.
Abstract
This paper introduces Data2Neo, an open-source Python library for converting relational data into knowledge graphs stored in Neo4j databases. With extensive customization options and support for continuous online data integration from various data sources, Data2Neo is designed to be user-friendly, efficient, and scalable to large datasets. The tool significantly lowers the barrier to entry for creating and using knowledge graphs, making this increasingly popular form of data representation accessible to a wider audience. The code is available at https://github.com/jkminder/data2neo .
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Taxonomy
TopicsBig Data Technologies and Applications · Distributed and Parallel Computing Systems