Unraveling the Web of Relationships: Understanding Graph Data
summary
Covers graph basics from Euler’s 1736 Seven Bridges origin to practical use cases: social recommendations, GPS routing, fraud detection, MDM, and RCA; compares storage approaches (native vs multimodel) and data models (property graph vs RDF triples), names examples like Neo4j and TigerGraph and query languages like Cypher and Gremlin; explains SQL Server workarounds — SQL Server adjacency list, path enumeration, hierarchyid and nested sets — and notes SQL Graph’s uncertain future; recommends budget checks and a proof‑of‑concept.
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chapters (13)
- 0:00Introduction
- 1:33Why graph data matters
- 2:36Graph theory history
- 3:39What is graph data
- 5:02Graph data applications
- 6:28Is your data graph-like
- 9:16Tools and budget for graphs
- 10:18Questions before graph adoption
- 11:41Graph algorithms in SQL Server
- 13:07What is a graph database
- 14:11Types of graph databases
- 15:56Graph query languages
- 16:38Relational vs graph differences
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