Neo4j GraphTalks Oslo - Graph Your Business - Rik Van Bruggen, Neo4j
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The Neo4j graph database is the fastest growing database engine in the market and has hundreds of customer references across Europe and globally, solving significant technology problems for large Enterprises in Finance, Telco, Retail, Utilities, Logistics and Internet sectors. Typical use cases are Recommendations, Fraud Detection, MDM, Network and Software Analysis and Optimization, Identity and Access Management.
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Neo4j GraphTalks Oslo - Graph Your Business - Rik Van Bruggen, Neo4j
- 2. Who am I? • Rik Van Bruggen • 5y of graph madness • Lots of blogging, writing, podcasting • Blog.bruggen.com • Learningneo4j.net • Graphistania.com • @rvanbruggen • Don’t forget to #graphday! 2
- 3. Neo4j: The Graph Database Leader 3 2000 2003 2007 2011 2013 2014 20152012 2016 2017 First and only declarative query language for property graph Invented property graph model Extended graph data model to labeled property graph First modern open-source commercial graph DB 1st 1st 1st Introduced 3rd-gen clustering architecture with causal consistency Multi- data center support with network topology awareness 1st First cost-based graph query optimizer 1st Published O’Reilly book on graph DB First native graph DB in 24/7 production First visual development environment for graphs Launched openCypher as “SQL for graphs” standard First database with native graph storage and processing Introduced graph DB as a NoSQL category 1st 1st 1st Scale, performance, governance for global internet apps Security Foundation for data security and compliance V3.2V3.1 1st First built-in graph ETL in Cypher
- 5. Oslo, June 7th 2017 8:30 - 9:00 - Registration & Networking - Welcome 9:00 - 9:20 - Introduction - Fredrik Johannson, Neo4j & Kjetil Eritzland, iKnow Solutions 9:20 - 10:20 - Graph Your Business! - Rik Van Bruggen, Neo4j 10:20 - 10:30 - Break 10:30 - 11:20 - Fighting Fraud and Money Laundering with Neo4j - Kees Vegter, Neo4j 11:20 - 11:30 - Q&A 11:30 - Lunch & Networking Agenda 5
- 6. LET’S START - at the beginning
- 7. WHAT IS A GRAPH?
- 8. A way of representing data DATA DATA
- 9. Relational Database Good for: • Well-understood data structures that don’t change too frequently A way of representing data • Known problems involving discrete parts of the data, or minimal connectivity DATA
- 10. Graph Database Relational Database A way of representing data Good for: • Dynamic systems: where the data topology is difficult to predict • Dynamic requirements: the evolve with the business • Problems where the relationships in data contribute meaning & value Good for: • Well-understood data structures that don’t change too frequently • Known problems involving discrete parts of the data, or minimal connectivity
- 12. A Graph Is
- 13. A Graph Is
- 14. A Graph Is
- 15. A Graph Is
- 16. A Graph Is
- 18. Use of Graphs has created some of the most successful companies in the world
- 19. Real Impact 19 Taking mankind to MarsEmpowering Journalists To Make Sense of News Data Helping Cure Cancer
- 20. Neo4j Use Cases
- 21. NEO4j USE CASES Real Time Recommendations Master Data Management Fraud Detection Identity & Access Management Graph Based Search Network & IT-Operations
- 22. “As the current market leader in graph databases, and with enterprise features for scalability and availability, Neo4j is the right choice to meet our demands.”Marcos Wada Software Developer, Walmart NEO4j USE CASES Real Time Recommendations Master Data Management Fraud Detection Identity & Access Management Graph Based Search Network & IT-Operations
- 23. Neo4j is the heart of Cisco HMP: used for governance and single source of truth and a one-stop shop for all of Cisco’s hierarchies. NEO4j USE CASES Real Time Recommendations Master Data Management Fraud Detection Identity & Access Management Graph Based Search Network & IT-Operations
- 24. “Graph databases offer new methods of uncovering fraud rings and other sophisticated scams with a high-level of accuracy, and are capable of stopping advanced fraud scenarios in real-time.”Large Intelligence Agency Cyber Security Expert NEO4j USE CASES Real Time Recommendations Master Data Management Fraud Detection Identity & Access Management Graph Based Search Network & IT-Operations
- 25. Uses Neo4j to manage the digital assets inside of its next generation in-flight entertainment system. NEO4j USE CASES Real Time Recommendations Master Data Management Fraud Detection Identity & Access Management Graph Based Search Network & IT-Operations
- 26. Uses Neo4j for network topology analysis for big telco service providers NEO4j USE CASES Real Time Recommendations Master Data Management Fraud Detection Identity & Access Management Graph Based Search Network & IT-Operations
- 27. UBS was the recipient of the 2014 Graphie Award for “Best Identify And Access Management App” NEO4j USE CASES Real Time Recommendations Master Data Management Fraud Detection Identity & Access Management Graph Based Search Network & IT-Operations
- 28. Afterglow
- 29. Neo4j 3.1 in Review Security Foundation 29 Causal Clustering State-of-the-Art Distributed Architecture for Graphs
- 30. Introducing Neo4j 3.2 May 2017 GA Enterprise scale for global applications Continuous improvement in native performance Enterprise governance for the connected enterprise 30
- 31. Enterprise Scale for Global Applications Causal Clusters can now span data centers • Clusters can be subdivided into groups and spread across DCs • Read-time choice of consistency at global scale: “Read Any”, “Read-your-own-Writes” Tiered Subclusters boost performance • Speeds local reads and writes • Replica servers pull from nearest replicas minimizing WAN traffic Topology-aware stack insulates developers & apps from the many complexities of clustering Improved Cloud Delivery via RPM, Azure and AWS EC2 31 dc1 group dc2 group
- 32. New in Neo4j 3.2 Multi-Data Center Support for Global Internet Apps Support global-scale apps across continental data centers—via a single switch 32 Each server in a Global Causal Cluster is aware of its role in the topology Local data-center load balancing drives performance and availability Local tiered hierarchies speed updates sa group uk group us_east group hk group
- 33. Groups can include cores or just tiered replicas Hierarchical Replica Server Updates 33 RRRR RR C CORES RRRR C READ REPLICAS RRRR RR RR RR RR RR READ REPLICAS
- 34. Fast, Local Reads and Writes with Global Causal Consistency Across the Cluster Reads occur at the highest speed from a local replica server, which gets refreshed by local cores 35 CORES R R R R R R R R READ REPLICAS R R AnalysisR R READ REPLICAS C CORES RR RR RR RR Analysis RR C C C C READ WRITE Writes are written to a local core server, which propagates the new data to other local cores, and then to remote core servers
- 35. Global Read-Your-Own-Writes: Choices at Read time: Immediacy Or Full Consistency Readers can choose between immediate access to Replica data or waiting for any pending writes to propagate to the Replica 36 CORES R R R R R R R R READ REPLICAS R R AnalysisR R READ REPLICAS C CORES RR RR RR RR Analysis RR CREAD WRITE Neo4j drivers maintain knowledge of server locations and transaction IDs so developers and users don’t need to C C C
- 36. Enterprise Governance Neo4j is IT friendly Node Keys: new type of schema constraint • Tied to labels, nodes can have any number of Node Keys • Ensure graph integrity by enforcing existence and uniqueness • Improves data exchange across multiple data sources Kerberos encrypted-authentication module add-on • Supports three-tier integration of client, directory and database Causal Clustering available on CAPI-Flash hardware from IBM Power8 via add-on Better metrics in Query Monitor to reveal query behavior and resource consumption 37
- 37. Native Graph Performance Improvements • Native Label index improves write speed by 30- 300% • Composite indexes supercharge lookup speeds • Cypher’s depth query in DISTINCT function eliminates repetitious traversals through deep levels creating exponential time savings • New Compiled Cypher runtime in Enterprise Edition to speed common queries by 300% • Cost-based-optimizer replaces rules based optimizer (which has been deprecated) • Snappier Neo4j Browser with new more flexible JavaScript framework 38
- 38. One More Thing! New Cypher Editor in Neo4j Browser Syntax Highlighting Auto Complete for Labels, Relationship Types, Properties, and Variables Command Auto Complete
- 39. Oslo, June 7th 2017 8:30 - 9:00 - Registration & Networking - Welcome 9:00 - 9:20 - Introduction - Fredrik Johannson, Neo4j & Kjetil Eritzland, iKnow Solutions 9:20 - 10:20 - Graph Your Business! - Rik Van Bruggen, Neo4j 10:20 - 10:30 - Break 10:30 - 11:20 - Fighting Fraud and Money Laundering with Neo4j - Kees Vegter, Neo4j 11:20 - 11:30 - Q&A 11:30 - Lunch & Networking Agenda 40
- 40. THANK YOU!
Notas do Editor
- Over a decade of leadership in the Graph Space. The seed was planted back in 2000 when our founders invented the property graph model but it wasn’t until 2010 that we contributed the first GA version of Neo4j 1.0 to the open source community and started building a commercial engine around it. We have had a series of first – we introduced Cypher, the first and only declarative language for property graph, launched graph connect and the O’Reilly book to build out the category. The marked rewarded us with commercial success and by the end of 2015 we had 150 paying customers and 50k monthly downloads. The V3.1 and 3.2 releases make Neo4j ready to develop and deploy mission-critical, internet-based, enterprise graph applications.
- First, not everyone in the room would know what a graph is.
- First, not everyone in the room would know what a graph is.
- First, not everyone in the room would know what a graph is.
- What this means for your data structure
- First, not everyone in the room would know what a graph is.
- A graph is connected data. Which essentially means – datapoints that have relationships with other datapoints.
- Or a hotel that has rooms, which have availability
- Or a hotel that has rooms, which have availability
- Or a hotel that has rooms, which have availability
- Or it could be people who know other people – who know other people.. who studied together, who work at the same place – who studied with other people, who works somewhere else… etc.
- …forming an extremely powerful foundation from which you can derive value.
- And deriving value from data-relationships is exactly what some of the most successful companies in the world have done. Google created perhaps the most valuable advertising system of all time on top of their search-enginge, which is based on relationships between webpages. Linkedin created perhaps the most valuable HR-tool ever based on relationships amongst professional And this is also what pay-pal did, creating a peer-to-peer transaction service, based on relationships.
- First, not everyone in the room would know what a graph is.
- First, not everyone in the room would know what a graph is.
- Establishes Neo4j as the enterprise standard graph technology
- First, not everyone in the room would know what a graph is.