Chalkiopoulos Programming MapReduce with Scalding

A practical guide to designing, testing, and implementing complex MapReduce applications in Scala
1. Auflage 2025
ISBN: 978-1-78328-702-4
Verlag: De Gruyter
Format: PDF
Kopierschutz: Adobe DRM (»Systemvoraussetzungen)

E-Book, Englisch, 148 Seiten

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 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

Autoren/Hrsg.

Chalkiopoulos, Antonios

Fachgebiete

• Mathematik | Informatik EDV | Informatik Programmierung | Softwareentwicklung Software Engineering

Über Autor(innen)

Chalkiopoulos Antonios :

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.