Sebastopol: O’Reilly Media, 2017. — 39 p.
In this book, we identify the key characteristics of fast data architectures, separate them into functional blocks, and show you how to implement those functions using components like those in the SMACK stack—Spark, Mesos, Akka, Cassandra, and Kafka, as well as others.
Architects will learn how to choose, combine, and run SMACK stack technologies to build resilient, scalable, and responsive systems that your company requires.
This eBook examines:
The anatomy of fast data applications: the application model, streaming data sources, processing engines, and data sinks
Functional composition of the SMACK stack and extensions
The event backbone that connects all the major components of a fast data platform together
Compute engines for transforming data into valuable insights
...and more