Graph Databases will change your (freakin') life
summary
Claim: labeled property graph DBs are mature and excel at cheap long traversals so you can build recommendation or fraud engines quickly. Tools shown include Neo4j with the browser, queries in Cypher and Py2neo, and a small Flask recommendations demo wired to the graph. Real-world results are cited: eBay reports orders-of-magnitude speedups and NASA credits a graph knowledge base with saving 2 years and about $1 million. Code lives at the linked GitHub.
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chapters (10)
- 0:00Start
- 1:17Goal
- 2:05Euler's Seven Bridges of Königsberg (1736)
- 5:42Relational Databases (RDBMS) aka SQL
- 5:53Are RDBMS (aka SQL) good with relationships?
- 7:02NoSQL (some families)
- 7:53What Graph Databases do NOT do well
- 9:00You get an email requesting a customer report ...
- 11:20GQL (cypher) Query
- 13:12What Graph Databases DO, er, do well
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