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.

Applying Graph DB to Enterprise MDM

333 views

Published on

Presentation from the 2017 MDM and Data Governance Conference in San Fransisco.

Published in: Technology
  • Be the first to comment

  • Be the first to like this

Applying Graph DB to Enterprise MDM

  1. 1. Chris Goodacre Media Software Development Manager • Digital Operations & Technology Brant Boehmann Technical Lead • Digital Operations & Technology
  2. 2. 2
  3. 3. The (Start of) The Problem … What starts out like this …
  4. 4. The (Start of) The Problem … Quickly turns into something like this, as we add in relationships to brands, channels, talent, organizations, usage and distribution rights, and other concepts that turn out to be important in regular life.
  5. 5. The Real Problem
  6. 6. Point-to-Point
  7. 7. Hub-and-Spoke
  8. 8. Relational: Familiar, But…
  9. 9. First Take
  10. 10. The New Take: Graph DB
  11. 11. Model Simplicity Variant Version Part Abstract-Part ReformatReference Concrete-Part
  12. 12. Multiple DAMs, One Graph 1 2 3
  13. 13. Broadcast Video 1 Part Abstract Part Concrete Part Version Instance Location
  14. 14. Related Recipes 2 Reference Instance Location
  15. 15. Production Deliverables 3
  16. 16. Model Flexibility
  17. 17. Model Flexibility Reference Part
  18. 18. Query Elegance
  19. 19. • Business uses a collection of DAMs • Best of breed approach led to a mixed ecosystem of COTS, SaaS and home-grown • Systems weren’t orthogonal – business required interrelationships between the DAMs. • Operational challenges led us down a Graph path • Modeling flexibility, simplicity and query elegance were a happy by-product Summary

×