Successfully reported this slideshow.
We use your LinkedIn profile and activity data to personalize ads and to show you more relevant ads. You can change your ad preferences anytime.

State of Florida Neo4J Graph Briefing - Keynote

Introduce the value of Graph Databases & how they've quickly become the "go to" technology for the connected economy

  • Be the first to comment

  • Be the first to like this

State of Florida Neo4J Graph Briefing - Keynote

  1. 1. Today’s Agenda
  2. 2. Bob Liebowitz March 11, 2020
  3. 3. Strictly ConfidentialStrictly Confidential • Overview: Connected data and graphs • Market landscape • Neo4j Introduction • Case studies • Wrap-up Topics
  4. 4. Networks of People Business Processes Knowledge Networks E.g., Risk management, Citizen Service, Payments E.g., Employees, Citizens, Suppliers, Partners, Influencers E.g., Enterprise content, Domain specific content, eCommerce content Data connections are increasing as rapidly as data volumes The Rise of Connections in Data
  5. 5. Graphs have been universally recognized as a great solution for specific types of problems - Graph Problems - and recognition is GROWING!
  6. 6. Look at this data… Element Depends On A B A C A D C H D J E F E G F J G L H I J N J M L M
  7. 7. Element Depends On A B A C A D C H D J E F E G F J G L H I J N J M L M Time challenge #1: What if J fails? ?
  8. 8. Look at this data again…
  9. 9. If your business problem has a lot of dependencies - which in IT / database terms are represented by JOINs between different entities - and if solving for these dependencies in near real time is important to you, then your problem is probably easiest solved with graph technology - and we can safely call it a GRAPH PROBLEM. Identifying Graph Problems
  10. 10. 2.6 TB 11.5 million documents Emails, Scanned Documents, Bank Statements etc… The Graph Problem at Scale: Panama Papers
  11. 11. DB-engines Ranking of Database Categories Graph DB 2013 2014 2015 2016 2017 2018 2019 • Graph DBMS • Key-value stores • Document stores • Wide column store • RDF stores • Time stores • Native XML DBMS • Object oriented DBMS • Multivalue DBMS • Relational DBMS Popularity of Graphs
  12. 12. Strictly Confidential 16 Graph is a Top Technology Trend for 2020
  13. 13. “Choice (from 3:00 to 6:00), during which the DBMS technology asset class typically moves from adolescent status into the early mainstream. This is the phase of highest growth in demand (market penetration potentially reaches 50%), during which supply options should grow…” 17 Graphs in the Early Mainstream
  14. 14. Making Graph Database Market History: An Emerging Open Standard
  15. 15. Neo4j Company Update
  16. 16. A Vibrant Growing Community
  17. 17. A Vibrant Growing Community 50% 1000+ Sign ups for Startup Program
  18. 18. Neo4j is one of the Fastest Growing Skills
  19. 19. 76%FORTUNE 100 have adopted or are piloting Neo4jFinance 20 of top 25 7 of top 10 Software Retail 7 of top 10 Airline s 3 of top 5 Logistic s 3 of top 5 Telco 4 of top 5 Hospitalit y 3 of top 5 Growing Adoption in the Enterprise
  20. 20. Case Studies
  21. 21. Background • US IT consulting firm helped US Army streamline equipment deployments and maintenance spending • Saving lives by improving the operational readiness of Army equipment like tanks, radios, transports, aircraft, weaponry, etc. Business Problem • Needed to modernize procurement, budget and logistics processes for equipment & spare parts • Millions of connections among a tank’s bill-of- materials, for example • Improve “what if” cost calculations when planning missions and troop deployments • Mainframe systems required over 60 man-hrs to calculate changes… planning took too long. Solution and Benefits • 118M nodes & 185M relationships • Shed cost estimation times by 88% • Improved parts delivery timing and accuracy • DBA labor required dropped by 77% • Equipment TCO more predictable • Safer soldiers US Army / Calibre Systems Equipment Logistics Parts Assembly & Equipment Maintenance25
  22. 22. Background • The MITRE Corporation is a federally-funded, not- for-profit company that manages cybersecurity for seven national research and development laboratories around the United States including the Center for National Security • Founded in 1958, engaged in numerous public- private partnerships as well as independent research Problem • Constantly-evolving networks – devices, configurations • Huge volumes of “noise” from virus warnings to failed logins • Isolated datapoints with no context to separate the most serious threats from the benign • Existing database could not provide the context or performance to manage a real-time environment Solution and Benefits • CyGraph - Agencies now have scalable, comprehensive analytic and visualization capabilities • Allowed agencies to capture a picture of their cybersecurity environment that connects previously isolated data points Mitre Cybersecurity for Federal Agencies 26 “CyGraph’s comprehensive knowledge base tells a much more complete story than that of basic attack graphs or mission dependency models. [It] includes potential attack-pattern relationships that fill in gaps between known vulnerabilities and threat indicators.” - Steven Noel, Principal Cybersecurity Engineer
  23. 23. Background • Social network of 10M graphic artists • Peer-to-peer evaluation of art and works-in-progress • Job sourcing site for creatives • Massive, millions of updates (reads & writes) to Activity Feed • 150 Mongos to 48 Cassandras to 3 Neo4j’s! Business Problem • Artists subscribe, appreciate and curate “galleries” of works of their own and from other artists • Activities Feed is how everyone receives updates • 1st implementation was 150 MongoDB instances • 2nd implementation shrunk to 48 Cassandras, but it was still too slow and required heavy IT overhead Solution and Benefits • 3rd implementation shrunk to 3 Neo4j instances • Saved over $500k in annual AWS fees • Reduced data footprint from 50TB to 40GB • Significantly easier to introduce new features like, “New projects in you Network” Adobe Behance Social Network of 10M Graphic Artists Social Network27 EE Customer since 2016 Q
  24. 24. Background • Over 7M citizens suffer from Diabetes • Connecting over 400 researchers • Incorporates over 50 databases, 100k’s of Excel workbooks, 30 database of biological samples • Sought to examine disease from as many angles as possible. Business Problem • Genes are connected by proteins or to metabolites, and patients are connected with their diets, etc… • Needed to improve the utilization of immensely technical data • Needed to cater to doctors and researchers with simple navigation, communication and connections of the graph. Solution and Benefits • Dr. Alexander Jarasch, Head of Bioinformatics and Data Management • Scientists can conduct parallel research without asking the same questions or repeating tests • Built views like a liver sample knowledge graph DZD - German Center for Diabetes Research Medical Genomic Research28 EE Customer since 2016 Q
  25. 25. #neo4j@lancewalter #neo4j

×