Graph Databases & Data Governance with David Allen of Neo4j

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)

The Data Stack Show is a weekly podcast powered by RudderStack. Each week we’ll talk to data engineers, analysts, and data scientists about their experience around building and maintaining data infrastructure, delivering data and data products, and driving better outcomes across their businesses with data.

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