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NOSQL: DOING IT WRONG BEFORE GETTING IT RIGHT
6-27-2015/Lawrence Trinh
Content
Goals
• Accommodate new products
– Content
– Marketing
– Schema changes
• Start using Node.js for services and web tier
• Move content out to AWS
– Improve abilities to scale up/down
Background
• Web App
– Host website (www.fandango.com)
• Backoffice tools
– Map data
– Modify existing content
• SQL Server
– Store data
Enter Couchbase
• CDC
– Monitor SQL Server changes
• Export
– Grabs changes and pushes to
• Import
– Contains rules to load data
• Custom query language
– Sit in front of couchbase to
pull/join data
Challenges
• Rules
– Large number /data type
– Import grows quickly
• Breaking points
– Lots of places things can
go wrong
• Second source of truth
– New tools write directly to
Couchbase
Enter Microservices
• Data store
– Simplified flow
– Centralized
• Flexibility
– (Re)building should be less
risky
• Service ownership
– Easily distributable
Q&A
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Big Data Day LA 2015 - NoSQL: Doing it wrong before getting it right by Lawrence Trinh of Fandango

  • 1. NOSQL: DOING IT WRONG BEFORE GETTING IT RIGHT 6-27-2015/Lawrence Trinh
  • 3. Goals • Accommodate new products – Content – Marketing – Schema changes • Start using Node.js for services and web tier • Move content out to AWS – Improve abilities to scale up/down
  • 4. Background • Web App – Host website (www.fandango.com) • Backoffice tools – Map data – Modify existing content • SQL Server – Store data
  • 5. Enter Couchbase • CDC – Monitor SQL Server changes • Export – Grabs changes and pushes to • Import – Contains rules to load data • Custom query language – Sit in front of couchbase to pull/join data
  • 6. Challenges • Rules – Large number /data type – Import grows quickly • Breaking points – Lots of places things can go wrong • Second source of truth – New tools write directly to Couchbase
  • 7. Enter Microservices • Data store – Simplified flow – Centralized • Flexibility – (Re)building should be less risky • Service ownership – Easily distributable
  • 8. Q&A