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Neo4j GraphTalks Oslo - Introduction to Graphs

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Neo4j GraphTalks Oslo
Rik Van Bruggen, Neo4j

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Neo4j GraphTalks Oslo - Introduction to Graphs

  1. 1. Welcome to Fredrik Johansson, fredrik.johansson@neo4j.com Rik Van Bruggen, rik@neo4j.com Kees Vegter, kees@neo4j.com
  2. 2. • Neo4j Introduction (Fredrik Johansson, Neo4j) • The Value of Graphs & The Graph Platform (Rik Van Bruggen, Neo4j) • Next-Generation Solutions using Graph Databases (Kees Vegter, Neo4j) • Graph Database Case Studies (Rik Van Bruggen, Neo4j) Agenda
  3. 3. Neo4j Introduction
  4. 4. 2010 2011 2012 2013 2015 2017 Invented Cypher - Leading language for graph queries First open source GA version of a property graph database O’Reilly Graph Database — first definitive book for graph professionals Introduced labels to simplify graph modeling openCypher Project — open sourced Cypher to create the de facto standard Launched industry’s first Graph Platform Neo4j — The Graph Technology Pioneer 2014 Visual Graph Query Browser 2016 Causal Consistency for Graphs 2018 Solutions, Platform products, Cloud
  5. 5. 500+ 7/10 12/25 8/10 53K 100+ 250+ 450+ Adoption Top retailers globally Top Financial Firms Top Software Vendors Customers Partners •Creator of Neo4j Graph Platform •~220 employees •HQ in Silicon Valley, other offices include London, Munich, Paris and Malmö •$80M in funding from Fidelity, Sunstone, Conor, Creandum, and Greenbridge Capital •Over 10M+ downloads •250+ enterprise subscription customers, more than half are over $1B in revenue Company overview Ecosystem Startups in program Enterprise customers Partners Meet up members Events per year
  6. 6. Who We Are: The Graph Platform Neo4j is an enterprise-grade native graph platform that enables you to: • Store, reveal and query data relationships • Traverse and analyze any levels of depth in real-time • Add context and connect new data on the fly • Performance • ACID Transactions • Agility • Graph Algorithms 6 Designed, built and tested natively for graphs from the start for: • Developer Productivity • Hardware Efficiency • Global Scale • Graph Adoption
  7. 7. Metcalfe’s Law of Networks v~n2 https://en.wikipedia.org/wiki/Metcalfe%27s_law
  8. 8. Discrete Data Connections-First Perspective SELECT foo FROM emp SQL (Ann)-[:LOVES]->(Dan) CypherQuery Language RDBMS GRAPH DB DBMS Architecture Relationships are Important!
  9. 9. CONSUMER DATA PRODUCT DATA PAYMENT DATA SOCIAL DATA SUPPLIER DATA The next wave of competitive advantage will be all about using connections to identify and build knowledge Graphs in The Age of Connections
  10. 10. Software Financial Services Telecom Retail & Consumer Goods Media & Entertainment Other Industries Airbus
  11. 11. Graphs are changing the World ICIJ used Neo4j to uncovered the world’s largest journalistic leaks to date, The Panama Papers, exposing criminals, corruption and extensive tax evasion. The US space agency uses Neo4j build a knowledge graph for their “Lessons Learned” database, saving over $1M in improving effectiveness of mission plan. Ebay ShopBot uses Neo4j to enable machine learning through knowledge graphs powering “conversational commerce.” Powering Machine LearningInvestigative Journalism Space Exploration
  12. 12. Business Problem • Find relationships between people, accounts, shell companies and offshore accounts • Journalists are non-technical • Biggest “Snowden-Style” document leak ever; 11.5 million documents, 2.6TB of data Solution and Benefits • Pulitzer Prize winning investigation resulted in robust coverage of fraud and corruption • PM of Iceland & Pakistan resigned, exposed Putin, Prime Ministers, gangsters, celebrities (Messi) • Led to assassination of journalist in Malta Background • International Consortium of Investigative Journalists (ICIJ), small team of data journalists • International investigative team specializing in cross-border crime, corruption and accountability of power • Works regularly with leaks and large datasets ICIJ Panama Papers INVESTIGATIVE JOURNALISM Fraud Detection / Knowledge Graph12
  14. 14. Bank US Account Person A Company Bank Bahamas Address HAS REGISTERED IS_OFFICER_ OF WITH LIVES_AT LIVES_AT NODERELATIONSHIP Person B
  15. 15. ICIJ Pulitzer Price Winner 2017
  16. 16. Business Problem • Find relationships between people, corporations, accounts, shell companies and offshore accounts • Journalists are non-technical • 2017 Leak from Appleby tax sheltering law firm matched 13.4 million account records with public business registrations data from across Caribbean Solution and Benefits • Exposed tax sheltering practices of Apple, Nike • Revealed hidden connections among politicians and nations, like Wilbur Ross & Putin’s son in law • Triggered government tax evasion investigations in US, UK, Europe, India, Australia, Bermuda, Canada and Cayman Islands within 2 days. Background • International Consortium of Investigative Journalists (ICIJ), Pulitzer Prize winning journalists • Fourth blockbuster investigation using Neo4j to reveal connections in text-based, and account-based data leaked from offshore law firms and government records about the “1% Elite” • Appends Neo4j-based, “Offshore Leaks Database” ICIJ Paradise Papers INVESTIGATIVE JOURNALISM Fraud Detection / Knowledge Graph16
  17. 17. Forrester Research has named Neo4j “Most Dominant Graph Database” Part of Gartner’s “Operational Database” Magic Quadrant 2014-2016 “Neo4j is the clear leader in the property graph space” What the Analysts Say
  18. 18. 18 “Neo4j continues to dominate the graph database market.” Noel Yuhanna Forrester Market Overview: Graph Database Vendors October 2017 69% of companies surveyed are implementing/expanding (51%)  or plan to implement (18%) graph databases within the next 12 months.
  19. 19. Why Neo4j? The #1 Platform for Connected Data
  20. 20. Store / Retrieve Native Graph Architecture Advantage
  21. 21. Load Data Store / Retrieve Native Graph Architecture Advantage
  22. 22. Load Data Actionable InsightsStore / Retrieve Neo4j reveals connections in your data Native Graph Architecture Advantage
  23. 23. Index-free adjacency ensures lightning-fast retrieval of data and relationships Native Graph Architecture Advantage Index free adjacency Unlike other database models Neo4j connects data as it is stored
  24. 24. Graph Transactions Graph Analytics Data Integration Development & Admin Analytics Tooling Drivers & APIs Discovery & Visualization Developers Admins Applications Business Users Data Analysts Data Scientists NATIVE Graph Platform Advantage
  25. 25. Development & Administration Analytics Tooling Graph Analytics Graph Transactions Data Integration Discovery & VisualizationDrivers & APIs A I Neo4j Database • 50% faster writes • Real-time transactions and traversal applications The Neo4j Graph Platform surrounds Neo4j Neo4j Desktop, the developers’ mission control console • Free, registered local license of Enterprise Edition • APOC library installer • Algorithm library installer Data Integration • Neo4j ETL reveals RDBMS hidden relationships upon importing to graph • Data Importer for fast data ingestion • Data Lake integrator materializes graphs from Apache Hadoop, Hive and Spark Graph Analytics • Graph Algorithms support PageRank, Centrality and Path Finding • Cypher for Apache Spark from openCypher.org supports graph composition (sub-graphs) and algorithm chaining Discovery & Visualization • Integration with popular visualization vendors • Neo4j Browser and custom visualizations allow graph exploration Bolt, GraphQL, Java and more • Secure, Causal Clustering • High-speed analytic processing • On-prem, Docker & cloud delivery
  26. 26. What’s in the Graph Platform?
  27. 27. 10M+ Downloads 3M+ from Neo4j Distribution 7M+ from Docker Events 400+ Approximate Number of Neo4j Events per Year 50k + Meetups Number of Meetup Members Globally Neo4j — A Global Ecosystem 250+ Number of Commercial Customers Customers
  28. 28. Native Graph Database Technology Internet-scale, native graph database which executes connected workloads faster than any other database management system. Neo4j – Fastest Path to Graph Success Highest Investment in Customer Success Largest ecosystem of solutions and graph based services to reduce learning curve and time to market Innovation Network Highest concentration of Graph Innovators, Experts, Analysts and Developers.
  29. 29. Questions? Answers!
  30. 30. Next-Generation Solutions using Graph Databases Kees Vegter, Neo4j
  31. 31. Fantastic Case Studies
  32. 32. Use cases on https://neo4j.com/use-cases/
  33. 33. Customer stories studies on https://neo4j.com/customers/
  34. 34. 34
  35. 35. 35
  36. 36. 36
  37. 37. 37
  38. 38. 38
  39. 39. <1000 >2500 39
  40. 40. 40 Tel Aviv Madrid London Paris AMS Milan Berlin Stockholm
  41. 41. Fantastic Speakers 41
  42. 42. 42 https://www.slideshare.net/neo4j/volvo-cars-build-a-car-with-neo4j
  43. 43. 43 https://www.slideshare.net/neo4j/graphtour-previa-preventing-brun-outs-with-connected-health-care-data
  44. 44. 44 https://www.slideshare.net/neo4j/neanex-semantic-construction-with-graphs-91674084
  45. 45. 45 https://www.slideshare.net/neo4j/graphtour-madrid-running-neo4j-on-a-large-scale-image-platform
  46. 46. 46 https://www.slideshare.net/neo4j/graphtour-integrating-neo4j-in-ing-luxembourgs-environment
  47. 47. 47 https://www.slideshare.net/neo4j/graphtour-workday-tracking-activity-with-neo4j-english-version
  48. 48. 48 https://www.slideshare.net/neo4j/graphtour-crdit-agricole-making-the-most-of-public-information-on-our-clients
  49. 49. 49 https://www.slideshare.net/neo4j/graphtour-mastering-highly-distributed-architecture-with-neo4j
  50. 50. 50 https://www.slideshare.net/neo4j/decyphering-recipes-with-neo4j
  51. 51. 51 https://www.slideshare.net/neo4j/generali-fraud-analytics
  52. 52. 52 https://www.slideshare.net/neo4j/daimler-ag-structurecube-die-gklasse-im-sumpf-der-strukturen
  53. 53. 53
  54. 54. Questions? Answers!