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No, Azure Data Factory (ADF) currently doesn't have a native connector to directly load data into a Neo4j database. However, ADF does not provide a direct activity for loading data into Neo4j. You might need to use a combination of activities and scripts to achieve this.
Using ADF Copy Activity: You can use the ADF Copy Activity to move data from ADL to a more common format like CSV. Once the data is in CSV format, you can use the LOAD CSV
command in Cypher, Neo4j’s query language, to import the data into Neo4j
refer: https://neo4j.com/docs/getting-started/data-import/
Using Python Coding Entirely:
Direct Data Load: Develop a complete Python script using the Neo4j driver to:
- Access data directly from ADL using libraries like
adl-pandas
. - Process and transform the data as needed.
- Connect to Neo4j and execute Cypher queries for data insertion.
- Python Coding Entirely: This option offers more control and flexibility, especially for complex data transformations. However, it requires writing and maintaining the entire data processing logic yourself.
- Neo4j Python Driver: https://neo4j.com/docs/api/python-driver/current/
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