How to Import Data into Neo4j

2.4 Importing Data into Neo4j • Importing CSV files with LOAD CSV • Using APOC (Awesome Procedures on Cypher) for bulk imports • Connecting Neo4j to relational databases (JDBC) Check out our full course at Udemy – https://www.udemy.com/course/knowledge-graphs-for-enterprise-ai-a-practical-guide Mastering Data Import in Neo4j 🚀 Ready to load real enterprise data? In this video, we explore the essential tools and patterns for efficiently importing large datasets, APIs, and relational databases into Neo4j . 🔍 What You'll Learn in This Video: 📄 LOAD CSV: Master Neo4j's built-in tool to import files, convert data types, and build multiple nodes and relationships simultaneously . 📦 Batch Processing: Prevent memory issues on large files (over 100,000 rows) by using apoc.periodic.iterate to process data in batches . ✨ The Power of APOC: Discover Neo4j's "Awesome Procedures on Cypher" library, featuring over 450 functions to load JSON/XML, execute pathfinding algorithms, and clean duplicate data . 🔗 Relational DB Integration: Learn the two main patterns for migrating data from PostgreSQL or MySQL: simple CSV export pipelines and the direct APOC JDBC connector . 🐍 Python Pipelines: See a powerful Python pattern that reads rows from a relational database and writes them seamlessly to Neo4j using the UNWIND statement . At the end of the video, we'll wrap up our Core Cypher modules and prepare you for Module 3: Graph Data Modeling! 👍 If you found this helpful, please like, subscribe, and share this video with your team!