hands-on-lab-neo4j-and-google and neo4j-and-azure-lab

These are ecosystem siblings—both are hands-on workshop labs that teach Neo4j integration patterns, one for Google Cloud Platform and one for Microsoft Azure, allowing developers to learn the same graph database concepts across different cloud providers.

Maintenance 13/25
Adoption 10/25
Maturity 16/25
Community 22/25
Maintenance 10/25
Adoption 6/25
Maturity 11/25
Community 17/25
Stars: 121
Forks: 51
Downloads:
Commits (30d): 0
Language: Jupyter Notebook
License: Apache-2.0
Stars: 20
Forks: 8
Downloads:
Commits (30d): 0
Language: Python
License: Apache-2.0
No Package No Dependents
No Package No Dependents

About hands-on-lab-neo4j-and-google

neo4j-partners/hands-on-lab-neo4j-and-google

Hands on Lab for Neo4j and Google

This workshop teaches you how to combine graph databases with generative AI to analyze complex datasets. You'll learn to load unstructured data, like SEC filings, into a graph database and then use AI to explore relationships and build chatbots for querying the data. This is ideal for data scientists and data engineers working with large, interconnected datasets, especially in capital markets.

capital-markets financial-analysis data-engineering knowledge-graphs generative-AI

About neo4j-and-azure-lab

neo4j-partners/neo4j-and-azure-lab

Hands on lab for Neo4j and Microsoft Azure

This hands-on lab helps data scientists and data engineers learn to use AI to analyze complex datasets stored in Microsoft Azure. You'll learn how to take raw data, like financial filings from Azure Blob Storage, process it using AI, and load it into a Neo4j graph database. The outcome is a powerful knowledge graph and AI agent that can be used for deep analysis, especially in areas like capital markets.

data-science data-engineering capital-markets financial-analysis knowledge-graphs

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