In this talk, Kevin will explore the idea of BigData DumbOps -- not "dumb" because standing up a Big Data stack is trivial or easy, but "dumb" because it should be. Few people give much thought to apt-get install foo. Why can’t ’foo’ be a multi-node Big Data solution, complete with ingestion, processing, and visualization components? The hard part with solving Big Data problems is in the deployment and configuration of all the services that need to work together (NameNodes, DataNodes, ResourceManagers, oh my). Wouldn’t it be great if there was an easy way to model a Big Data platform, stand that up across multiple units in a cloud, and get down to business?
"Yes" is the right answer, and Juju does just that. Kevin will cover some of the Big Data services available in the Juju ecosystem (Hadoop, Spark, Kafka, etc) and then show how easily these can be deployed to make way for the real fun -- solving Big Data problems.