Neo4j Live: Lessons learned from Real-World Graph App Development

This podcast episode features Dave Aitel discussing his expertise in building data analytics platforms with Neo4j, focusing on the intricate processes involved in importing data, optimizing queries, and utilizing graph databases for complex analytical tasks. He shares practical insights from his experiences, particularly within the context of the US federal market and projects like DARPA's REGENT program, emphasizing the importance of indexing, understanding query planners, and leveraging advanced data import techniques to enhance performance. The episode ultimately serves as a comprehensive guide for developers looking to master data analytics in graph databases.

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Neo4j

Introduction and Nodes 2023 Announcement

Dave Aitel: Building Data Analytics in Neo4j - Introduction and Early Stages

Data Analytics in Neo4j: Real-World Scenarios and Challenges

Advanced Data Import and Query Optimization Techniques in Neo4j

Mastering Graph Projections and Optimizing Complex Queries

Lessons Learned: Query Planning, Indexes, and Data Correctness

Neo4j Live: Lessons learned from Real-World Graph App Development

Neo4j

00:00Introduction and Nodes 2023 Announcement

Introduction and Nodes 2023 Announcement

03:43Dave Aitel: Building Data Analytics in Neo4j - Introduction and Early Stages

Dave Aitel: Building Data Analytics in Neo4j - Introduction and Early Stages

09:02Data Analytics in Neo4j: Real-World Scenarios and Challenges

Data Analytics in Neo4j: Real-World Scenarios and Challenges

18:18Advanced Data Import and Query Optimization Techniques in Neo4j

Advanced Data Import and Query Optimization Techniques in Neo4j

28:43Mastering Graph Projections and Optimizing Complex Queries

Mastering Graph Projections and Optimizing Complex Queries

41:37Lessons Learned: Query Planning, Indexes, and Data Correctness

Lessons Learned: Query Planning, Indexes, and Data Correctness