Learn how to integrate full-stack open source big data architecture and to choose the correct technology--Scala/Spark, Mesos, Akka, Cassandra, and Kafka--in every layer.

Big data architecture is becoming a requirement for many different enterprises. So far, however, the focus has largely been on collecting, aggregating, and crunching large data sets in a timely manner. In many cases now, organizations need more than one paradigm to perform efficient analyses.

Big Data SMACK explains each of the full-stack technologies and, more importantly, how to best integrate...