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Performant Queries on Highly Connected, Growing Data

Blog post from Neo4j

Post Details
Company
Date Published
Author
Michael Wytock
Word Count
5,431
Language
English
Hacker News Points
-
Summary

Querying dense, exponentially growing networks in tall, relational databases is often unintuitive and poorly performant. Former CEO of Coshx labs Michael Wytock discusses how to use labels to limit search space as well as how to leverage stored procedures for performance improvements. He explains what patents are, why citation relationships are valuable, and the trends in patent data, highlighting how highly connected and quickly growing this data is. Wytock also talks about how they explored this data in Neo4j, as well as the three stages of implementation they experimented with. The presentation aims to provide a business case study on performance improvements using labels and stored procedures for complex graph queries.