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![@doanduyhai
A property-graph is
28
• A directed, binary, attributed multi-graph
User Movie
name: DuyHai
age: 35
title: The Jedi Return
categories: [SF, action,
space]
view
view_time: xxx
knows](https://image.slidesharecdn.com/duyhai-graphpresentation-170323104143/75/Give-sense-to-your-Big-Data-w-Apache-TinkerPop-property-graph-databases-28-2048.jpg)
![@doanduyhai
Some definitions
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User Movie
Vertex Properties
name: DuyHai
age: 35
title: The Jedi Return
categories: [SF, action,
space]
Vertex Properties](https://image.slidesharecdn.com/duyhai-graphpresentation-170323104143/75/Give-sense-to-your-Big-Data-w-Apache-TinkerPop-property-graph-databases-29-2048.jpg)
Uploaded byDataStax
Give sense to your Big Data w/ Apache TinkerPop™ & property graph databases
This document discusses Apache TinkerPop and property graph databases. It introduces Apache TinkerPop as an open-source graph computing framework. TinkerPop includes components like Gremlin for graph traversal queries and Blueprints for graph storage APIs. The document explains key concepts of property graphs including vertices, edges, and attributed properties. It provides an example of using Gremlin to query a graph, finding all movies an actor played in. Overall, the document provides an overview of Apache TinkerPop and property graphs.
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Give sense to your Big Data w/ Apache TinkerPop™ & property graph databases
- 1. Give sense toyour Big Data with Apache TinkerPop™ and property-graph databases DuyHai DOAN Apache Cassandra™ evangelist
- 2. @doanduyhai Who Am I? 2 • Technical advocate for Apache Cassandra™ at Datastax • Committer for Apache Zeppelin™ and maintainer of Zeppelin/Cassandra interpreter • duy_hai.doan@datastax.com • @doanduyhai
- 3. @doanduyhai Who is Datastax 3 •Company offering Datastax Enterprise, a commercial distribution of Apache Cassandra™ • Datastax Enterprise == Apache Cassandra™ ++ features
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- 6. @doanduyhai Who is notusing any of those apps ? 6
- 7. @doanduyhai Needle in ahaystack
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- 11. @doanduyhai Graph databases aretrending 11
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- 13. @doanduyhai Relational databases 13 Users personId firstnamelastname … Movies movieId title country … View personId movieId view_time …
- 14. @doanduyhai Relational databases 14 • Definethe relationships between entities • Store the entities and relationships in a normalized fashion (normal forms)
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- 16. @doanduyhai Graph databases 16 • Definethe relationships between entities • Store the entities and relationships • Allow end-users to explore the relationships • Allow end-users to discover unexpected relations between entities
- 17. The value ofdata is proportional to the number of meaningful relationships
- 18. @doanduyhai When to usegraph databases ? 18
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- 21. @doanduyhai Apache TinkerPop™ 21 • Open-sourcegraph computing framework • Started in 2009 by Marko A. Rodriguez, Josh Shinavier, and Peter Neubauer • Join ASF since January 2015 • Currently version 3.2.4 Frame Furnac e Pipe BluePrint Rexster Gremlin
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- 23. @doanduyhai Graph databases family 23 •RDF (Resource Description Framework) • AllegroGraph, BlazeGraph, OntoText, OpenLink Virtuoso … • Property-graph • Neo4J, Titan, Datastax Enterprise (DSE) Graph, OrientDB …
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- 25. @doanduyhai A graph is 25 •A set of vertices (nodes) and edges (arcs) • Formal definition: G = (V, E) User Movie Vertices Edge
- 26. @doanduyhai A property-graph is 26 •A directed User
- 27. @doanduyhai A property-graph is 27 •A directed, binary, User Movie
- 28. @doanduyhai A property-graph is 28 •A directed, binary, attributed multi-graph User Movie name: DuyHai age: 35 title: The Jedi Return categories: [SF, action, space] view view_time: xxx knows
- 29. @doanduyhai Some definitions 29 User Movie VertexProperties name: DuyHai age: 35 title: The Jedi Return categories: [SF, action, space] Vertex Properties
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- 33. @doanduyhai Graph vs Hardwareallegory 33
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- 35. @doanduyhai Example of graphtraversal 35 User friendWith Movie like Person actor director Give me all movies in which "Harrison Ford" has played as actor name gender title year id name rating
- 36. @doanduyhai Example of graphtraversal 36 g.V() User friendWith Movie like Person actor director Give me all movies in which "Harrison Ford » has played as actor name gender title year id name rating
- 37. @doanduyhai Example of graphtraversal 37 g.V().hasLabel("Person") User friendWith Movie like Person actor director Give me all movies in which "Harrison Ford » has played as actor name gender title year id name rating
- 38. @doanduyhai Example of graphtraversal 38 User friendWith Movie like Person actor director Give me all movies in which "Harrison Ford" has played as actor name gender title year id name rating g.V().hasLabel("Person") .has("name","Harrison Ford")
- 39. @doanduyhai Example of graphtraversal 39 User friendWith Movie like Person actor director Give me all movies in which "Harrison Ford" has played as actor name gender title year id name rating g.V().hasLabel("Person") .has("name","Harrison Ford") .out("actor")
- 40. @doanduyhai Example of graphtraversal 40 User friendWith Movie like Person actor director Give me all movies in which "Harrison Ford" has played as actor with mean rating > 7 name gender title year id name rating g.V().hasLabel("Person") .has("name","Harrison Ford") .out("actor") .where(inE("like").values("rating").mean().is( gt(7)))
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Editor's Notes
- #8 Each dot by itself is often insignificant. But taken together, they give rise to a picture that is important. Credit: http://www.heidis-so-called-life.com/2010/12/christmas-gift-ideas-extreme-dot-to-dot.html
- #9 “Connecting the dots”, “Finding patterns”, “Needle in a haystack” is a common theme for graph databases.
- #13 The law of data value.
- #18 The law of data value.
- #21 The law of data value.
- #25 The law of data value.
- #35 The law of data value.
- #42 The law of data value.