Programming MapReduce with Scalding
暫譯: 使用 Scalding 編寫 MapReduce 程式

About This Book

• Develop MapReduce applications using a functional development language in a lightweight, high-performance, and testable way
• Recognize the Scalding capabilities to communicate with external data stores and perform machine learning operations
• Full of illustrations and diagrams, practical examples, and tips for deeper understanding of MapReduce application development

Who This Book Is For

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 ad-targeting applications using best practices
• Apply a test-driven 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

In Detail

Programming MapReduce with Scalding is a practical guide to setting up a development environment and implementing simple and complex MapReduce transformations in Scalding, using a test-driven development methodology and other best practices.

This book will first introduce you to how the Cascading framework allows for higher abstraction reasoning over MapReduce applications and then dive into how Scala DSL Scalding enables us to develop elegant and testable applications. It will then teach you how to test Scalding jobs and how to define specifications and behavior-driven development (BDD) with Scalding. This book will also demonstrate how to monitor and maintain cluster stability and efficiently access SQL, NoSQL, and search platforms.

Programming MapReduce with Scalding provides hands-on information starting from proof of concept applications and progressing to production-ready implementations.