Graph database & neo4j
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Presentation contains basic of graph database, explained neo4j database concept with basic code samples.
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Graph database & neo4j
- 1. Graph Database & Neo4j Created By: Sandip Jadhav
- 2. Puzzle Traces through all the edges of a graph without lifting one’s pencil and without retracing any edge more than once 1. 2. 3. 4. 5. 6. © 2013 TomTom. All rights reserved. Confidential information.2
- 3. Euler path • An Euler path is a path that uses every edge of a graph exactly once. • Seven Bridges of Königsberg is a historically notable problem in mathematics • Theorem: An Eulerian trail exists in a connected graph if and only if there are either no odd vertices or two odd vertices. © 2013 TomTom. All rights reserved. Confidential information.3
- 4. NOSQL © 2013 TomTom. All rights reserved. Confidential information.4
- 5. Four NOSQL Categories • Key-value stores • Based On Amazon’s Dynamo Paper • Data model : (global) collection of K-V pairs • Example : Riak, Voldemort, Redis • Column-Family • Based on Google’s BigTable paper • Data Model: big table, column families • Example : Hbase, Hypertable, Cassandra © 2013 TomTom. All rights reserved. Confidential information.5
- 6. Four NOSQL Categories • Document Databases • Inspired by Lotus Notes • Data model : collection of K-V Collection • Example : CouchDB, MongoDB • Graph Databases • Inspired by Euler & graph theory • Data Model: nodes, relationship • Example : AllegroGraph,Sones,Neo4j © 2013 TomTom. All rights reserved. Confidential information.6
- 7. © 2013 TomTom. All rights reserved. Confidential information.7
- 8. Path Puzzles © 2013 TomTom. All rights reserved. Confidential information.8
- 9. Mumbai Local Map Graph to represent simple map © 2013 TomTom. All rights reserved. Confidential information.9
- 10. Early Adopters of Graph Tech Facebook Social Graph © 2013 TomTom. All rights reserved. Confidential information.10
- 11. Early Adopters of Graph Tech Google internet graph ( Page Rank ) & Knowledge Graph © 2013 TomTom. All rights reserved. Confidential information.11 Google Knowledge Graph
- 12. © 2013 TomTom. All rights reserved. Confidential information.12 Graph Database & Neo4j Intro
- 13. © 2013 TomTom. All rights reserved. Confidential information.13
- 14. Graph are Whiteboard friendly © 2013 TomTom. All rights reserved. Confidential information.14
- 15. Top Reasons choose Graph database 15 • Problems with Join performance. • Continuously evolving data set (often involves wide and sparse tables) • The Shape of Domain is naturally a graph • Open-ended business requirements necessitating fast, iterative development. © 2013 TomTom. All rights reserved. Confidential information.
- 16. Graph Databases are Designed to: • Highly connected data (social networks) • Make sense of that data • Recommendations (e-commerce) • Path Finding (how do I know you?) • A* (Least Cost path) Data First Schema (bottom-up, but you still need to design) © 2013 TomTom. All rights reserved. Confidential information.16
- 17. Emerging Domains to use Graph DB 17 © 2013 TomTom. All rights reserved. Confidential information.
- 18. Neo4j © 2013 TomTom. All rights reserved. Confidential information.18
- 19. Graph Db (Neo4j) Performance © 2013 TomTom. All rights reserved. Confidential information.19
- 20. The Neo4J Secrete Sauce © 2013 TomTom. All rights reserved. Confidential information.20
- 21. Neo4j Example : Matrix Movie 21 © 2013 TomTom. All rights reserved. Confidential information.
- 22. Create node & relationship © 2013 TomTom. All rights reserved. Confidential information.22
- 23. Transaction © 2013 TomTom. All rights reserved. Confidential information.23
- 24. Define Relationship © 2013 TomTom. All rights reserved. Confidential information.24
- 25. Travels Graph © 2013 TomTom. All rights reserved. Confidential information.25
- 26. Result of Travelasal © 2013 TomTom. All rights reserved. Confidential information.26
- 27. Neo4J Logical architecture © 2013 TomTom. All rights reserved. Confidential information.27
- 28. Query language : Cypher © 2013 TomTom. All rights reserved. Confidential information.28
- 29. Query language : Cypher © 2013 TomTom. All rights reserved. Confidential information.29
- 30. Query language : Gremlin © 2013 TomTom. All rights reserved. Confidential information.30 • Graph travels language • DSL (Groovy based)
- 31. http://console.neo4j.org/ © 2013 TomTom. All rights reserved. Confidential information.31
- 32. References • http://martinfowler.com/bliki/PolyglotPersistence.html • http://neo4j.com © 2013 TomTom. All rights reserved. Confidential information.32
Notes de l'éditeur
- Data Model ColumnFamily: ColumnFamily is a single structure that can group Columns and SuperColumns with ease. Key: the permanent name of the record. Keys have different numbers of columns, so the database can scale in an irregular way. Keyspace: This defines the outermost level of an organization, typically the name of the application. For example, ‘3PillarDataBase’ (database name). Column: It has an ordered list of elements aka tuple with a name and a value defined. In comparison, most relational DBMS store data in rows, the benefit of storing data in columns, is fast search/ access and data aggregation
- polyglot persistence will come at a cost - but it will come because the benefits are worth it.
- A Graph Database + Lucene Index Property Graph Full ACID (atomicity, consistency, isolation, durability) High Availability (with Enterprise Edition) 32 Billion Nodes, 32 Billion Relationships, 64 Billion Properties Embedded Server REST API