Applying Graphs to Enterprise Media Asset Management at Scripps Networks
Scripps Networks Interactive is a leading developer of engaging lifestyle content in the home, food and travel categories for television, the internet and emerging platforms. Their U.S. lifestyle portfolio comprises popular television and internet brands HGTV, DIY Network, Food Network, Cooking Channel, Travel Channel and Great American Country, which collectively engage more than 190 million consumers each month, and HGTV was among the top 10 cable networks in 2016. Managing the asset and instance-level metadata for Scripps' historical media portfolio is critical to their business. It affects everything from broadcast availability to viewing behavior to the ability to syndicate content to non-linear and international broadcast partners. In this session, the speakers will discuss: Applying graph technology to federate relevant metadata across multiple digital asset management systems into a cohesive multi-media library Leveraging the advantages of graph DB over traditional relational databases Facilitating modeling via graph technology of complex, multi-dimensional relationships between multiple domains (shows, seasons, episodes, formats & versions)
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Applying Graphs to Enterprise Media Asset Management at Scripps Networks
- 1. Applying Graphs to Enterprise Media Asset Management at Scripps Networks Brant Boehmann Chris Goodacre
- 2. 2
- 3. The (Start of) The Problem … What starts out like this …
- 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.
- 9. First Take
- 10. The New Take: Graph DB
- 11. Reads & Writes About our graph & usage Avg: 3K / min. Average 3k requests / minute Peak @ 8k requests / minute 10M nodes 43 M nodes 2014 2017
- 12. In the cloud
- 14. Multiple DAMs, One Graph 1 2 3
- 15. Broadcast Video 1 Part Abstract Part Concrete Part Version Instance Location
- 19. Query Elegance
- 20. • 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