Graph-Powered Digital Asset Management with Neo4j
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The document discusses digital asset management (DAM) and highlights how graph databases, specifically Neo4j, can enhance its efficiency and flexibility. It showcases two success stories: Scripps Networks Asset Registry and Adobe Behance Activity Feed, illustrating improved performance and user experience. The presentation encourages organizations to leverage Neo4j for their DAM solutions and provides resources for further learning.
![The Model: Flexibility is key
MATCH (a:Asset)-[:PART*]-(nlv:Asset)
WHERE a.scrid = “1134”
AND nlv.type = “NLVideo”
RETURN nlv.scrid](https://image.slidesharecdn.com/graphpowereddigitalassetmanagementwithneo4j-190308142202/85/Graph-Powered-Digital-Asset-Management-with-Neo4j-14-320.jpg)
![MATCH (u:User { id: “11”})-[:FOLLOWS]->(f:User)-[p:PUBLISH]->(pr:Project)
RETURN f.name, p.date, pr ORDER BY p.date DESC
FOLLOWS
APPRECIATE
PUBLISH
FOLLOWS
Activity Feed New Graph Data Model](https://image.slidesharecdn.com/graphpowereddigitalassetmanagementwithneo4j-190308142202/85/Graph-Powered-Digital-Asset-Management-with-Neo4j-20-320.jpg)
![Techniques for boosting read perf on dense nodes : Tiered Relationships
MATCH (u:User { id: “11”})-[:FOLLOWS]->(f:User)-[p:LAST_200]->(pr:Project)
RETURN f.name, p.date, p.type, pr ORDER BY p.date DESC](https://image.slidesharecdn.com/graphpowereddigitalassetmanagementwithneo4j-190308142202/85/Graph-Powered-Digital-Asset-Management-with-Neo4j-21-320.jpg)
![Techniques for boosting read perf on dense nodes : Qualified Relationships
MATCH (u:User)-[:FOLLOWS]->(f:User)-[p:APPRECIATE_32]->(pr:Project)
RETURN f.name, pr
ORDER BY p.date DESC
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Graph-Powered Digital Asset Management with Neo4j
- 1. Graph-Powered Digital Asset Management with Neo4j 7th March 2019
- 2. Jesús Barrasa Director Telco&Media Solutions at Neo4j jesus.barrasa@neo4j.com @barrasaDV 2
- 3. ➔ What is DAM + Areas where graphs add value ➔ Two DAM success stories ➔ Q&A
- 4. What is DAM? 4 Digital asset management (DAM) solves the problem of storing, organising, finding, retrieving, sharing and distributing rich-media assets (text, graphics, images, video, audio...)
- 5. 5 Key Capabilities in DAM solutions Repository and library services Metadata and taxonomy management Search and navigation Lifecycle and rights management capabilities Identity and Access Management Production analytics Repository and library services Metadata and taxonomy management Search and navigation Lifecycle and rights management capabilities Identity and Access Management Production analytics
- 6. Two success stories ➔ Scripps Networks Asset Registry ➔ Adobe Behance Activity Feed
- 7. “All organisations are now media organisations, based on the amount of content they create, the audiences they deliver it to, and the stories they tell to connect with customers...” (*) (*) https://www.forrester.com/go?objectid=RES138067
- 8. Neo4j’s Property Graph 8 Capture Complexity Flexibility High Performance Scale Rich, Dynamic Graph Model on a Native Graph Platform DAM Needs... Neo4j - The worlds leading Graph Platform
- 9. Scripps Networks Asset Registry Model Flexibility / Expressivity
- 12. Scripps Asset Registry Single point of access to all asset data from multiple DAMs → Registry style MDM
- 13. The Model: Multiple DAMS in one graph Broadcast Video Related Assets (recipes) Production Deliverables
- 14. The Model: Flexibility is key MATCH (a:Asset)-[:PART*]-(nlv:Asset) WHERE a.scrid = “1134” AND nlv.type = “NLVideo” RETURN nlv.scrid
- 15. Scripps Networks Asset Registry Model Flexibility requirements New asset types, attributes and relationships need to be easy to create/add Need to be able to query related data https://www.youtube.com/watch?v=4jlK88WXm8I Graph Characteristics 10M to 47M nodes in 3 years (x5) Read/Write ~ 400/1 Peak 8K requests/min (AVG of 3K) 35Bill – 55Bill weekly requests
- 16. Adobe Behance Activity Feed Performance and Efficiency
- 18. Pain Point: Fan out Model
- 19. Solution based on Cassandra Cluster of 48 nodes Dataset ~50tb Action broadcast taking 15 min (!) Activity Feed Old Approach
- 20. MATCH (u:User { id: “11”})-[:FOLLOWS]->(f:User)-[p:PUBLISH]->(pr:Project) RETURN f.name, p.date, pr ORDER BY p.date DESC FOLLOWS APPRECIATE PUBLISH FOLLOWS Activity Feed New Graph Data Model
- 21. Techniques for boosting read perf on dense nodes : Tiered Relationships MATCH (u:User { id: “11”})-[:FOLLOWS]->(f:User)-[p:LAST_200]->(pr:Project) RETURN f.name, p.date, p.type, pr ORDER BY p.date DESC
- 22. Techniques for boosting read perf on dense nodes : Qualified Relationships MATCH (u:User)-[:FOLLOWS]->(f:User)-[p:APPRECIATE_32]->(pr:Project) RETURN f.name, pr ORDER BY p.date DESC https://maxdemarzi.com/
- 23. #cats selected Column Store Neo4j 1 .55 .21 4 1.15 .29 13 4.07 .65 Avg processing time in seconds Improved onboarding experience
- 24. ● Human maintenance hours down well over 300% ● 1/1000 storage required ● Lower Cost ● Improved user-facing functionality ● Easy extensibility Behance Activity Feed https://www.youtube.com/watch?v=bPM9hVorPSM
- 25. Takeaways ➔ Graph → efficient / flexible / expressive representation of asset data ➔ Neo4j platform gives you a head start ➔ Are you ready to build/enhance your DAM solution with Neo4j?
- 26. What next? 1. Go to neo4j.com and download our graph platform. 2. Watch/Read the resources mentioned in this webinar. Don’t take my word for it. 3. Join our online community site to learn from others and to share your experience https://community.neo4j.com/ 4. Reach out to us for licensing info and best practices on building DAM solutions with Neo4j