Approaching graph db
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The document discusses the characteristics and applications of graph databases, particularly focusing on Neo4j. It contrasts different database models, including relational (MySQL), key-value (Redis), document (MongoDB), and column (Cassandra) databases, emphasizing the advantages of graph databases for handling semi-structured and connected data. The summary includes the internal architecture of Neo4j and its features such as ACID transactions and high-speed querying through graph traversals.
![Neo4J: CYPHER
START
usa=node:mb_fulltext(name="United
States"),
gb=node:mb_fulltext(name="United
Kingdom")
MATCH
(usa:Country),
(gb:Country),
(arKst:ArKst)-‐[:FROM_AREA]-‐(usa),
(arKst:ArKst)-‐[:RECORDING_CONTRACT]-‐(l:Label),
(label)-‐[:FROM_AREA]-‐(gb)
RETURN
arKst,label,usa,gb](https://image.slidesharecdn.com/sergeyeninapproachinggraphdb-140131060944-phpapp02/85/Approaching-graph-db-27-320.jpg)
Approaching graph db
- 2. Sergey Enin So#ware Engineering Team Leader EPAM, Minsk
- 3. AGENDA NOSQL GRAPH DBs APP NEO4J
- 4. NoSQL
- 5. NoSQL Not Only SQL Using specific toolset for specific problem NoSQL model is different from SQL model NoSQL databases is a special purpose Database
- 6. (No)SQL: CLASSIFICATION Database Data model Strengths Weaks MySQL RelaBonal E-‐R data model Low flexibility Redis Key-‐value High performance and scalability Low funcKonality MongoDB Document High performance Variable flexibility Cassandra Column High performance and scalability Low funcKonality Neo4j Graph High High complexity performance
- 8. Graph Databases: HISTORY Leonhard Euler (1707 –1783) Swiss mathematician
- 10. What is Graph?
- 11. Graph Databases: GRAPH A B VerKce (Node) C Edge (RelaKonship) D
- 12. Graph Databases: WHAT IS IT?
- 13. Graph Databases: WHAT IS IT? Joins VS Traversals
- 14. Graph Databases: CHARACTERISTICS 1 Good for semistructured connected data Index freeadjacency 2 3 The underlying storage The processing engine 4
- 15. APPs
- 20. Neo4J: CHARACTERISTICS true ACID transacKons; scales to billions of nodes and relaKonships; high speed querying through traversals; declaraKve graph query language;
- 21. Neo4J: who use Neo4J: WHO USE it
- 22. Neo4J: who use Neo4J: NETWORK ARCHITECTURE it Neo4J: network architecture
- 23. Neo4J: architecture Neo4J: ARCHITECTURE
- 24. Neo4J: architecture Neo4J: Internal storage Node RelaKonship
- 25. Neo4J: architecture Neo4J: Internal storage
- 26. Neo4J: CYPHER
- 27. Neo4J: CYPHER START usa=node:mb_fulltext(name="United States"), gb=node:mb_fulltext(name="United Kingdom") MATCH (usa:Country), (gb:Country), (arKst:ArKst)-‐[:FROM_AREA]-‐(usa), (arKst:ArKst)-‐[:RECORDING_CONTRACT]-‐(l:Label), (label)-‐[:FROM_AREA]-‐(gb) RETURN arKst,label,usa,gb
- 29. Thank You Sergey Enin Software Engineering Team Leader Sergey_Enin@epam.com! tygrysminsk! sergeyenin! pankrat! sergeyenin.com/sec2014!