By Raul Estrada, Isaac Ruiz
This e-book is set easy methods to combine full-stack open resource colossal facts structure and the way to decide on the proper technology—Scala/Spark, Mesos, Akka, Cassandra, and Kafka—in each layer. tremendous information structure is turning into a demand for plenty of diverse companies. to date, in spite of the fact that, the focal point has principally been on accumulating, aggregating, and crunching huge datasets in a well timed demeanour. in lots of situations now, businesses desire a couple of paradigm to accomplish effective analyses.
Big info SMACK explains all the full-stack applied sciences and, extra importantly, find out how to most sensible combine them. It presents precise assurance of the sensible advantages of those applied sciences and contains real-world examples in each scenario. The booklet makes a speciality of the issues and situations solved by means of the structure, in addition to the suggestions supplied by means of each expertise. It covers the six major options of huge info structure and the way combine, exchange, and toughen each layer:
- The language: Scala
- The engine: Spark (SQL, MLib, Streaming, GraphX)
- The box: Mesos, Docker
- The view: Akka
- The garage: Cassandra
- The message dealer: Kafka
What you’ll learn
- How to make enormous info structure with no utilizing complicated Greek letter architectures.
- How to construct an inexpensive yet potent cluster infrastructure.
- How to make queries, experiences, and graphs that company demands.
- How to control and take advantage of unstructured and No-SQL information sources.
- How use instruments to watch the functionality of your architecture.
- How to combine all applied sciences and choose which change and which reinforce.
Who This booklet Is For
This publication is for builders, information architects, and knowledge scientists trying to find the right way to combine the main profitable mammoth info open stack structure and the way to decide on the proper expertise in each layer.
Read or Download Big Data SMACK: A Guide to Apache Spark, Mesos, Akka, Cassandra, and Kafka PDF
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Additional info for Big Data SMACK: A Guide to Apache Spark, Mesos, Akka, Cassandra, and Kafka
According to Sámi people, Akka’s representation on Earth is a beautiful mountain in Laponia, located in northern Sweden. In the platform’s context, the letters A and K stand for actor kernel. It is for this reason that the platform is called Akka and its symbol is the Akka mountain (see Figure 4-1). Figure 4-1. The original and modern Akka logos, representing the Akka mountain © Raul Estrada and Isaac Ruiz 2016 R. Estrada and I. 1 So, you may argue that if the actor model is more than 40 years old, why have we been dealing with another paradigm all of this time?
It is an open secret that each SMACK technology is independent and autonomous from the others. However, each could be developed (replaced) in Java or Scala. The truth is that each and every one of the SMACK technologies can be developed ad hoc. Yes, the sun shines for everyone in the streaming pipeline world. You can develop from scratch any SMACK technology or replace one as your project needs. How to write an entire Apache Akka project is beyond this book’s scope, but you should understand how it works to make good architectural decisions.
As programming language has a higher level, we can ignore the details related to hardware and start talking in terms that have nothing to do with implementation but with abstraction. Think in concepts as a recursive call, or function composition, which is hard to do if you have to deal with low-level hardware implementations. Threads and Labyrinths Between 1980 and 2003, we experienced the rise and dominance of object-oriented languages. These years were the dark ages of functional programming.
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