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