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Programming MapReduce with Scalding

You're reading from   Programming MapReduce with Scalding A practical guide to designing, testing, and implementing complex MapReduce applications in Scala

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Product type Paperback
Published in Jun 2014
Publisher
ISBN-13 9781783287017
Length 148 pages
Edition 1st Edition
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Author (1):
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Antonios Chalkiopoulos Antonios Chalkiopoulos
Author Profile Icon Antonios Chalkiopoulos
Antonios Chalkiopoulos
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Table of Contents (11) Chapters Close

Preface 1. Introduction to MapReduce FREE CHAPTER 2. Get Ready for Scalding 3. Scalding by Example 4. Intermediate Examples 5. Scalding Design Patterns 6. Testing and TDD 7. Running Scalding in Production 8. Using External Data Stores 9. Matrix Calculations and Machine Learning Index

Scala basics


Scala modernizes Java's object-oriented approach while adding in the mix functional programming. It compiles into byte-code, and it can be executed on any Java virtual machine; thus, libraries and classes of Java and Scala communicate seamlessly.

Scala, similar to Java, is a statically typed programming language but can infer type information. It can infer that t is a String type in the following example:

val t = "Text"

Semicolons are not required when terminating commands. Variables are declared, with var and constants with val, and Scala favors immutability, which means that we should try to minimize the usage of variables.

Scala is fully object-oriented and functional. There are no primitives, like float or int only objects such as Int, Long, Double, String, Boolean, Float. Also there is no null.

The Scala equivalent of Java interfaces is called trait. Scala allows traits to be partially implemented, that is, it is possible to define default implementations for some methods. A...

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