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modules/snowflake-analytics/pages/neo4j-manufacturing.adoc

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=== Create Our Database
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We are going to create a simple database with synthetic data. Let’s
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first create the databse:
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=== Set Up
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Now that we have our data, we just need to create a notebook and grant
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the necessary permissions.
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=== Visualize Our Graph
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At this point, you may want to visuze your graph to get a better
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understanding of how everything fits together. We can do this in two
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easy steps. First we are going to create a simplified view that we will
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=== Structural Connectivity Analysis
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Structural connectivity helps verify whether your production line is
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truly integrated or split into isolated sections. We use Weakly
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Connected Components (WCC) to evaluate this.
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=== Criticality Analysis
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Identifying the most critical machines in your workflow can help avoid
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shutdowns. If these machines slow down or fail, downstream operations
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halt. We use centrality algorithms to surface high-impact nodes. Both
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===  Structural Embeddings & Similarity
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Getting an even deeper understanding of each machine’s workflow requires
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more than looking at direct connections, as we have done so far.
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Structural embeddings capture broader patterns by summarizing each
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=== Conclusions And Resources
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In this quickstart, you learned how to bring the power of graph insights
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into Snowflake using Neo4j Graph Analytics.
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modules/snowflake-analytics/pages/neo4j-patient-journey.adoc

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By working with a patient transaction dataset, you were able to:
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[arabic]
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. Set up the
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https://app.snowflake.com/marketplace/listing/GZTDZH40CN/neo4j-neo4j-graph-analytics[Neo4j
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Graph Analytics] application within Snowflake.

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