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/?affiliateId=41c07a65-24c8-4499-af3c-b853a3495003

Testing serverless: https://testserverlessapps.com/?affiliateId=41c07a65-24c8-4499-af3c-b853a3495003

Production-Ready Serverless: https://productionreadyserverless.com/?affiliateId=41c07a65-24c8-4499-af3c-b853a3495003

Use the button, Add Discount and enter "geeknarrator" discount code to get 20% discount.
===============================================================================


Follow me on Linkedin and Twitter: https://www.linkedin.com/in/kaivalyaapte/ and https://twitter.com/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: https://youtu.be/yV_Zp0Mi3xs

Popular playlists:
Realtime streaming systems: https://www.youtube.com/playlist?list=PLL7QpTxsA4se-mAKKoVOs3VcaP71X_LA-

Software Engineering: https://www.youtube.com/playlist?list=PLL7QpTxsA4sf6By03bot5BhKoMgxDUU17

Distributed systems and databases: https://www.youtube.com/playlist?list=PLL7QpTxsA4sfLDUnjBJXJGFhhz94jDd_d

Modern databases: https://www.youtube.com/playlist?list=PLL7QpTxsA4scSeZAsCUXijtnfW5ARlrsN

Stay Curios! Keep Learning!

Cheers,
The GeekNarrator

Ver todos los episodios