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Graph Database Internals:

In this episode I talk to Michael Hunger from Neo4j about Graph Database Internals (Neo4J) Chapters: 0:00 Introduction and historical context 20:51 Data Modelling 25:16 Problem with SQL for Graph Model 26:21 Cypher - Query Language 28:23 Write Path 31:36 Neo4J Storage Layer 33:51 Graph API on top of Relational Model vs Native Graph Databases 37:05 Create Node Relationships 40:42 What makes Graph Database's performance better? 46:00 Partitioning Strategy 53:20 Read path 59:27 Schema Migration 01:04:41 Graph database use cases =============================================================================== For discount on the below courses: Appsync: https://appsyncmasterclass.com/?affil... Testing serverless: https://testserverlessapps.com/?affil... Production-Ready Serverless: https://productionreadyserverless.com... Use the button, Add Discount and enter "geeknarrator" discount code to get 20% discount. =============================================================================== Follow me on Linkedin and Twitter:   / kaivalyaapte   and   / thegeeknarrator   If you like this episode, please hit the like button and share it with your network. Also please subscribe if you haven't yet. Database internals series:    • Write-ahead-logging   Popular playlists: Realtime streaming systems:    • Realtime Streaming Systems   Software Engineering:    • Software Engineering   Distributed systems and databases:    • Distributed Systems and Databases   Modern databases:    • Modern Databases   Stay Curios! Keep Learning! Cheers, The GeekNarrator