Hadoop, Hive and Redis for Foursquare Analytics
Foursquare’s move from querying the production databases to a data analytics system using Hadoop and Hive with Redis playing the role of a cache:
via NoSQL databases
Foursquare’s move from querying the production databases to a data analytics system using Hadoop and Hive with Redis playing the role of a cache:
via NoSQL databases
About me: Software architect, Web Aficionado, Cloud Computing Fanboy, Geek Entrepreneur, Speaker, Co-founder and CTO of InfoQ.com, Writing also about NoSQL on the myNoSQL blog
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