Pig Design Patterns

by Pradeep Pasupuleti

Simplify Hadoop programming to create complex endtoend Enterprise Big Data solutions with Pig The experienced developer who is already familiar with Pig and is looking for a use case standpoint where they can relate to the problems of data ingestion, profiling, cleansing, transforming, and egressing data encountered in the enterprises. Knowledge of Hadoop and Pig is necessary for readers to grasp the intricacies of Pig design patterns better. Pig Design Patterns is a comprehensive guide that will enable readers to readily use design patterns that simplify the creation of complex data pipelines in various stages of data management. This book focuses on using Pig in an enterprise context, bridging the gap between theoretical understanding and practical implementation. Each chapter contains a set of design patterns that pose and then solve technical challenges that are relevant to the enterprise use cases. The book covers the journey of Big Data from the time it enters the enterprise to its eventual use in analytics, in the form of a report or a predictive model. By the end of the book, readers will appreciate Pig's real power in addressing each and every problem encountered when creating an analytics-based data product. Each design pattern comes with a suggested solution, analyzing the trade-offs of implementing the solution in a different way, explaining how the code works, and the results.

300 pages, Paperback

First published January 1, 2014

Reviews

[TN]

The book isn't something very special in terms of patterns. Most of them are popular and wellknown. Including a lot of code in the pages is a waste of space (and paper). It is totally understandable because if there is no code the whole book will be only 100 pages.