Programming MapReduce with Scalding

A practical guide to designing, testing, and implementing complex MapReduce applications in Scala

Häftad, Engelska, 2014

409 kr

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Beskrivning

Key FeaturesBook DescriptionThis book is an easy-to-understand, practical guide to designing, testing, and implementing complex MapReduce applications in Scala using the Scalding framework. It is packed with examples featuring log-processing, ad-targeting, and machine learning.This book is for developers who are willing to discover how to effectively develop MapReduce applications. Prior knowledge of Hadoop or Scala is not required; however, investing some time on those topics would certainly be beneficial.What you will learnSet up an environment to execute jobs in local and Hadoop modePreview the complete Scalding API through examples and illustrationsLearn about Scalding capabilities, testing, and pipelining jobsUnderstand the concepts of MapReduce patterns and the applications of its ecosystemImplement logfile analysis and adtargeting applications using best practicesApply a testdriven development (TDD) methodology and structure Scalding applications in a modular and testable wayInteract with external NoSQL and SQL data stores from ScaldingDeploy, schedule, monitor, and maintain production systemsWho this book is for

Produktinformation

Utgivningsdatum:2014-06-25
Mått:191 x 235 x 9 mm
Vikt:291 g
Format:Häftad
Språk:Engelska
Antal sidor:148
Upplaga:2
Förlag:Packt Publishing Limited
ISBN:9781783287017

Utforska kategorier

Programvaruutveckling inom Data och IT

Mer om författaren

Antonios Chalkiopoulos is a developer living in London and a professional working with Hadoop and Big Data technologies. He completed a number of complex MapReduce applications in Scalding into 40-plus production nodes HDFS Cluster. He is a contributor to Scalding and other open source projects, and he is interested in cloud technologies, NoSQL databases, distributed real-time computation systems, and machine learning. He was involved in a number of Big Data projects before discovering Scala and Scalding. Most of the content of this book comes from his experience and knowledge accumulated while working with a great team of engineers.

Innehållsförteckning

Table of ContentsIntroduction to CascadingGet ready for ScaldingScalding reference examplesIntermediate examplesDevelopment Patterns and Best PracticesTesting & BDDRunning in ProductionInteraction with external data storesMachine Learning and Recommendation systems