By Raul Estrada, Isaac Ruiz
This booklet is set tips on how to combine full-stack open resource massive info structure and the way to settle on the right kind technology—Scala/Spark, Mesos, Akka, Cassandra, and Kafka—in each layer. substantial facts structure is turning into a demand for plenty of various organizations. thus far, in spite of the fact that, the focal point has mostly been on amassing, aggregating, and crunching huge datasets in a well timed demeanour. in lots of circumstances now, companies desire a couple of paradigm to accomplish effective analyses.
Big facts SMACK explains all the full-stack applied sciences and, extra importantly, the way to top combine them. It presents particular assurance of the sensible advantages of those applied sciences and comprises real-world examples in each scenario. The publication specializes in the issues and situations solved through the structure, in addition to the ideas supplied by means of each expertise. It covers the six major strategies of huge facts structure and the way combine, change, and make stronger 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 immense facts structure with no utilizing advanced Greek letter architectures.
- How to construct an inexpensive yet powerful cluster infrastructure.
- How to make queries, studies, and graphs that company demands.
- How to control and make the most unstructured and No-SQL info sources.
- How use instruments to observe the functionality of your architecture.
- How to combine all applied sciences and judge which change and which reinforce.
Who This ebook Is For
This e-book is for builders, facts architects, and information scientists trying to find how you can combine the main winning gigantic facts open stack structure and the way to decide on the right kind know-how in each layer.
Read Online or Download Big Data SMACK: A Guide to Apache Spark, Mesos, Akka, Cassandra, and Kafka PDF
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Extra info for Big Data SMACK: A Guide to Apache Spark, Mesos, Akka, Cassandra, and Kafka
Figure 4-3. Lightbend Activator main page Now select the Hello Akka! application and click the “Create app” button, as shown in Figure 4-4. 45 CHAPTER 4 ■ THE MODEL: AKKA Figure 4-4. Creating an Akka application from a template Now open your IDE. In this case, we used the IntelliJ IDEA Community Edition, as shown in Figure 4-5. Figure 4-5. IntelliJ IDEA Community Edition 46 CHAPTER 4 ■ THE MODEL: AKKA Select Open. Enter the directory in which you created the project (see Figure 4-6). Figure 4-6.
16 PART II Playing SMACK CHAPTER 3 The Language: Scala The main part of the SMACK stack is Spark, but sometimes the S is for Scala. You can develop in Spark in four languages: Java, Scala, Python, and R. Because Apache Spark is written in Scala, and this book is focused on streaming architecture, we are going to show examples in only the Scala language. Other Apache Spark books present their examples in the four languages, but for the SMACK stack, simply discussing Scala is enough to develop a robust streaming pipeline.
ListMap: Elements are returned as the inverse of how they were inserted. • Map: The map as everybody knows it; key-value pairs. Immutable maps 24 • HashMap: A map whose internal implementation is a tree. • ListMap: Elements are returned as the inverse of how they were inserted. • Map: The map as everybody knows it; key-value pairs. • SortedMap: The keys are stored in a sorted order. • TreeMap: A sorted map; the red-black tree of the traditional computer science books. CHAPTER 3 ■ THE LANGUAGE: SCALA Sets You have to choose either a mutable set or a sorted set.