@@ -59,8 +59,6 @@ mock database
5959
6060=== Create Our Database
6161
62- Duration: 7
63-
6462We are going to create a simple database with synthetic data. Let’s
6563first create the databse:
6664
@@ -159,8 +157,6 @@ INSERT INTO rels (SRC_MACHINE_ID, DST_MACHINE_ID, THROUGHPUT_RATE) VALUES
159157
160158=== Set Up
161159
162- Duration: 5
163-
164160Now that we have our data, we just need to create a notebook and grant
165161the necessary permissions.
166162
@@ -269,8 +265,6 @@ GROUP BY SRC_MACHINE_ID, DST_MACHINE_ID;
269265
270266=== Visualize Our Graph
271267
272- Duration: 5
273-
274268At this point, you may want to visuze your graph to get a better
275269understanding of how everything fits together. We can do this in two
276270easy steps. First we are going to create a simplified view that we will
@@ -327,8 +321,6 @@ image::viz.png[]
327321
328322=== Structural Connectivity Analysis
329323
330- Duration: 5
331-
332324Structural connectivity helps verify whether your production line is
333325truly integrated or split into isolated sections. We use Weakly
334326Connected Components (WCC) to evaluate this.
@@ -395,8 +387,6 @@ LIMIT 5;
395387
396388=== Criticality Analysis
397389
398- Duration: 10
399-
400390Identifying the most critical machines in your workflow can help avoid
401391shutdowns. If these machines slow down or fail, downstream operations
402392halt. We use centrality algorithms to surface high-impact nodes. Both
@@ -543,8 +533,6 @@ paths, making them key points of potential disruption if taken offline.
543533
544534=== Structural Embeddings & Similarity
545535
546- Duration: 10
547-
548536Getting an even deeper understanding of each machine’s workflow requires
549537more than looking at direct connections, as we have done so far.
550538Structural embeddings capture broader patterns by summarizing each
@@ -723,8 +711,6 @@ automatically—even across machines that don’t look related on paper.
723711
724712=== Conclusions And Resources
725713
726- Duration: 2
727-
728714In this quickstart, you learned how to bring the power of graph insights
729715into Snowflake using Neo4j Graph Analytics.
730716
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