Two-tier Architecture Real-time Tier (Couchbase) • Detects user intent • Gives next best recommendation or deal
Data Bridge (Couchdoop)
Batch Tier (Hadoop) • Recommends products
User events
Recom
mendations
Importing Data { “user”: “Rudy”, “action”: “view”, “product”: “Fender Guitar” }
{ “user”: “Rudy”, “action”: “click”, “product”: “Guitar Amplifier” } {
“user”: “Emma”, “action”: “buy”, “product”: “Blue Skirt” }
Couchdoop
Machine Learning Recommenda0ons Hadoop
IMPORT
HDFS
{ “user”: “Rudy”, “recommendations”: [ [“Ibanez Acoustic Guitar”, 450], [“Guitar Tuner”, 120], [“Sound Mixer”, 30] ] }
EXPORT
Exporting Data
Couchdoop
Machine Learning Recommenda0ons Hadoop
{ “user”: “Rudy”, “recommendations”: [ [“Ibanez Acoustic Guitar”, 450], [“Guitar Tuner”, 120], [“Sound Mixer”, 30] ] }
Update
Updating Data
Couchdoop
Machine Learning Recommenda0ons Hadoop
