See a Mesos-based big data stack created & the components used You will use currently available Apache full & incubating systems The components are introduced by example & you learn how they work together In the Complete Guide to Open Source Big Data Stack the author begins by creating a private cloud & then installs & examines Apache Brooklyn After that he uses each chapter to introduce one piece of the big data stack-sharing how to source the software & how to install it You learn by simple example step by step & chapter by chapter as a real big data stack is created The book concentrates on Apache-based systems & shares detailed examples of cloud storage release management resource management processing queuing frameworks data visualization & more What You'll Learn Install a private cloud onto the local cluster using Apache cloud stack Source install & configure Apache Brooklyn Mesos Kafka & Zeppelin See how Brooklyn can be used to install Mule ESB on a cluster & Cassandra in the cloud Install & use DCOS for big data processing Use Apache Spark for big data stack data processing Who This Book Is For Developers architects IT project managers database administrators & others charged with developing or supporting a big data system It is also for anyone interested in Hadoop or big data & those experiencing problems with data size