Preface
Scalding is a relatively new Scala DSL that builds on top of the Cascading pipeline framework, offering a powerful and expressive architecture for MapReduce applications. Scalding provides a highly abstracted layer for design and implementation in a componentized fashion, allowing code reuse and development with the Test Driven Methodology.
Similar to other popular MapReduce technologies such as Pig and Hive, Cascading uses a tuple-based data model, and it is a mature and proven framework that many dynamic languages have built technologies upon. Instead of forcing developers to write raw map and reduce functions while mentally keeping track of key-value pairs throughout the data transformation pipeline, Scalding provides a more natural way to express code.
In simpler terms, programming raw MapReduce is like developing in a low-level programming language such as assembly. On the other hand, Scalding provides an easier way to build complex MapReduce applications and integrates with other distributed applications of the Hadoop ecosystem.
This book aims to present MapReduce, Hadoop, and Scalding, it suggests design patterns and idioms, and it provides ample examples of real implementations for common use cases.
