38: Graph Databases & Data Governance with David Allen of Neo4j

The Data Stack Show

Highlights from this week's episode include:

• David’s background in comparative databases (1:50)
• David’s experience and lessons he learned from writing his book (3:23)
• How writing a technical book compares to writing technical documentation (4:41)
• The process of writing a book (6:30)
• The best and worst part of David’s book writing experience (8:02)
• An introduction to what Neo4j is (9:08)
• What you need to graph (11:13)
• Typical problems a graph database is a good solution for (13:00)
• The difference between performance and relational databases (18:41)
• How Neo4j addresses performance and ergonomics (23:30)
• Neo4j and scalability (26:20)
• How Neo4j fits in the modern data stack (31:48)
• Neo4j use cases (35:45)
• Practical implementation of Neo4j (40:51)
• Neo4j’s relationship with open source (45:50)

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