Programming MapReduce with Scalding (2ND)

56.74 SGD
Member Price
51.07
English

Product Description

Key Features Book 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 learn Set up an environment to execute jobs in local and Hadoop mode Preview the complete Scalding API through examples and illustrations Learn about Scalding capabilities, testing, and pipelining jobs Understand the concepts of MapReduce patterns and the applications of its ecosystem Implement logfile analysis and adtargeting applications using best practices Apply a testdriven development (TDD) methodology and structure Scalding applications in a modular and testable way Interact with external NoSQL and SQL data stores from Scalding Deploy, schedule, monitor, and maintain production systems Who this book is for

This 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.

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