Advanced Data Ingestion Pipelines
Design and implement robust data pipelines for continuous and large-scale ingestion of diverse data sources into Neo4j.
Advanced Ingestion Pipelines Intro
Welcome to Advanced Data Ingestion Pipelines! In previous lessons, you've learned to create data with Cypher and load simple CSVs.
But what if your data is constantly changing, comes from many sources, or is simply too massive for manual imports? This lesson will equip you with strategies to design and implement robust pipelines for continuous, large-scale data ingestion into Neo4j.
Batch vs. Streaming Ingestion
When ingesting data, you typically choose between two main approaches:
- Batch Ingestion: Processes data in large blocks at scheduled intervals (e.g., nightly, hourly). Ideal for historical data or less time-sensitive updates.
- Streaming Ingestion: Processes data continuously as it arrives, enabling near real-time updates. Essential for applications requiring immediate data freshness.
The best choice depends on your data's velocity, volume, and freshness requirements.
All lessons in this course
- Stored Procedures and UDFs
- Integrating with BI and Visualization Tools
- Advanced Data Ingestion Pipelines
- Full-Text and Vector Search in Neo4j