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In this supper club episode of Syntax, Wes and Scott talk with Adam Cowley about how Neo4j Database can help when working with data for your next app.
Gatsby - Sponsor Today’s episode was sponsored by Gatsby, the fastest frontend for the headless web. Gatsby is the framework of choice for content-rich sites backed by a headless CMS as its GraphQL data layer makes it straightforward to source website content from anywhere. Gatsby’s opinionated, React-based framework makes the hardest parts of building a performant website simpler. Visit gatsby.dev/syntax to get your first Gatsby site up in minutes and experience the speed. ⚡️
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Show Notes 00:15 Welcome
01:24 Guest introduction
03:15 Browser innovation and testing
05:01 What is a graph database?
Neo4j Cypher

Sanity Groq

08:11 Is there a specific type of data that works best in a graph database?
11:57 Sponsor: Lightstep Incident Response
13:14 What’s AuraDB vs Neo4js?
15:01 Whiteboard friendly data model
19:52 How are GraphQL and graph related?
23:08 Can you sync with MongoDB?
24:41 How do you pull data into a div on the web?
29:19 Why are you used for data science a lot?
30:43 Sponsor: Gatsby
31:51 Is visualization an important part of Neo4js?
Neo4j Bloom

36:01 Do you have to think about indexing with graph databases?
39:43 Are there uses Neo4j isn’t as good for?
40:22 Do you have to cache queries?
41:26 Dessert questions
Intellijet Idea

Cobalt 2 Theme

50:36 Shameless Plug
Neo4j Desktop

Neo4j Cloud

54:45 ××× SIIIIICK ××× PIIIICKS ×××
××× SIIIIICK ××× PIIIICKS ××× Hue Lights

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