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.

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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• 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 ×××

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