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.
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.
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.
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