Graphs & Neo4j - Past Present Future
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The document discusses the evolution and future of graph databases, particularly focusing on Neo4j, including its adoption across various industries and the benefits of graph analysis. It highlights the growing trend of organizations using graph databases for competitive advantages and operational efficiencies. The document also explores the development of Neo4j's features, community engagement, and predictions for future advancements in graph technology.
![(Michael)*[:WORKS_FOR]*>(Neo4j)
michael@neo4j.com |?@mesirii?|?github.com/jexp?|?jexp.de/blog
Michael?Hunger??* Caretaker?General?@Neo4j](https://image.slidesharecdn.com/graphspastpresentfuture-170331125528/85/Graphs-Neo4j-Past-Present-Future-3-320.jpg)
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Graphs & Neo4j - Past Present Future
- 1. Graphs & Neo4j Past - Present - Future Meetup Sept 27, Stockholm - NetEnt
- 2. Michael Hunger Caretaker General Neo4j Community
- 8. KNOWS KNOWS NAME: ANN AGE: 32 SINCE: 2012 KNOWS NODE PROPERTY RELATIONSHIPS
- 9. KNOWS KNOWS KNOWS NAME: EVE AGE: 32 SINCE: 2012 KNOWS SELL VIEWS SELL PRICE:10$ PALO ALTO PRICE:5$ OAKLAND SELL
- 12. 15 years later…
- 13. “Graph analysis is the true killer app for Big Data.” “Forrester estimates that over 25% of enterprises will be using graph databases by 2017.” Today It Is An Industry
- 14. “Graph analysis is possibly the single most effective competitive differentiator for organizations pursuing data-driven operations and decisions after the design of data capture.” “By the end of 2018, 70% of leading organizations will have one or more pilot or proof-of-concept efforts underway utilizing graph databases.” Today It Is An Industry
- 15. Neo4j Adoption by Selected Verticals SOFTWARE FINANCIAL SERVICES RETAIL MEDIA & OTHER SOCIAL NETWORKS TELECOM HEALTHCARE
- 19. How did we get here?
- 20. Let‘s build a, 1. database 2. query language 3. billion $,company how hard can it be?
- 23. Be Open Listen!
- 27. Make it easy
- 31. Graph&Query&Language:&Cypher (jan:Person {,name:“Jan”},) 3[:LOVES]3>,(anne:Person {,name:“Anne”},) LOVES Jan Anne NODE NODE LABEL PROPERTYLABEL PROPERTY MATCH
- 32. MATCH&(boss)%[:MANAGES*0..3]%>(sub), (sub)%[:MANAGES*1..3]%>(report) WHERE&boss.name?=?“John?Doe” RETURN sub.name AS Subordinate,? count(report)?AS Total Find%all%reports%and%how%many% people%they%manage,% up%to%3%levels%down Cypher'Query SQL'Query
- 34. THE IMPACT OF GRAPHS How Graphs Are Changing The World
- 37. Biggest Leak in History Panama Papers Offshore Leaks Database Snowden – NSA WikiLeaks Cablegate Pentagon Papers 0 5M 10M Documents Leaked
- 41. Unraveling the Cancer Code with Graphs
- 45. Anybody with an idea and a purpose, can now use a technology that is powerful enough to change an industry
- 46. 273
- 50. Real-Time Recommendations Fraud Detection Network & IT Operations Master Data Management Graph-Based Search Identity & Access Management Sustainable Competitive Advantage With Graphs
- 51. WHAT’S NEXT? Building The Graph Database For The Future
- 52. What Users Love about Neo4j Design Whiteboard friendliness Develop Deploy Great query language Native graph performance
- 53. What Users Want More Of Design Whiteboard friendliness Develop Deploy Great query language Native graph performance Productivity Developer graph applications faster Scale Design bigger and faster graph apps Operations Deploy graph applications anywhere easily
- 55. Productivity
- 57. 2016 - : 3.x — Official Language Drivers 0.x — Embedded Java API2000 - 2010: 2.x — Cypher2014 - 2015: 2010 - 2014: 1.x — REST
- 58. Example - Java with Neo4j 2.x Official Language Drivers
- 59. Official Language Drivers Driver driver = GraphDatabase.driver( "bolt://localhost" ); try ( Session session = driver.session() ) { StatementResult result = session.run("MATCH (u:User) RETURN u.name"); } With Java
- 60. With JavaScript var driver = Graph.Database.driver("bolt://localhost"); var session = driver.session(); var result = session.run("MATCH (u:User) RETURN u.name"); Official Language Drivers
- 61. With Python driver = Graph.Database.driver("bolt://localhost") session = driver.session() result = session.run("MATCH (u:User) RETURN u.name") Official Language Drivers
- 62. Official Language Drivers using (var driver = GraphDatabase.Driver("bolt://localhost")) using (var session = driver.Session()) { var result = session.Run("MATCH (u:User) RETURN u.name"); } With .NET
- 63. JavaScript Java .NET Python Community Drivers Drivers Bolt PHP, Go, Elixir, Ruby
- 64. Neo4j OGM Spring Data Neo4j 4 Browser.Next Spark Driver JDBC Driver Enabling:
- 67. Java Stored Procedure @Procedure public Stream<StringResult> uuid() { return Stream.of(new StringResult(UUID.randomUUID().toString())); }
- 68. @Procedure public Stream<StringResult> uuid() { return Stream.of(new StringResult(UUID.randomUUID().toString())); } Cypher Java Stored Procedure
- 73. RDF / Linked Data Parallelization Meta Data Utilities Data Integration Date & Time Graph Algorithms Enabling: Spatial
- 74. Operations
- 77. Configuration Log Files Startup Behavior Directory Structure Consistency
- 78. Scale
- 80. Scalability Performance The Inherent Tension Between Scalability And Performance
- 82. Huge Networks of: People Devices Software Genes & Proteins Behaviors Documents Enabling:
- 83. Drivers User Defined Procedures Unlimited Size Graphs
- 84. Future These are my personal predictions - Stay Tuned -
- 85. Core-Edge Clustering Enterprise Grade Security User Defined Functions 3.1 beta
- 86. Large Scale Clusters Basis for Sharding Spark Co-Location Compute Instances Auto-Scaling Core Edge
- 87. LDAP Active Directory default roles fine grained roles procedure security later: Kerberos data level security Security
- 88. data conversion date & time json data structures business rules decomposition User Defined Functions
- 89. Graph Compute, Cypher on X Sharding Compiled Runtime 3.2 4.0
- 90. Connected Age
- 91. Age of Graphs and Graph Databases
- 93. Thank You
- 94. Questions? ;-) Ask Me Anything