Pig Design Patterns

Pasupuleti, Pradeep

ISBN 10: 1783285559 / ISBN 13: 9781783285556

Verlag: Packt Publishing, 2014

Pages are clean and are not marred by notes or folds of any kind. ~ ThriftBooks: Read More, Spend Less 1.35. Bestandsnummer des Verkäufers G1783285559I2N00

Inhaltsangabe:

Simplify Hadoop programming to create complex endtoend Enterprise Big Data solutions with Pig

About This Book

• Quickly understand how to use Pig to design end-to-end Big Data systems
• Implement a hands-on programming approach using design patterns to solve commonly occurring enterprise Big Data challenges
• Enhances users' capabilities to utilize Pig and create their own design patterns wherever applicable

Who This Book Is For

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.

What You Will Learn

• Understand Pig's relevance in an enterprise context
• Use Pig in design patterns that enable data movement across platforms during and after analytical processing
• See how Pig can co-exist with other components of the Hadoop ecosystem to create Big Data solutions using design patterns
• Simplify the process of creating complex data pipelines using transformations, aggregations, enrichment, cleansing, filtering, reformatting, lookups, and data type conversions
• Apply knowledge of Pig in design patterns that deal with integration of Hadoop with other systems to enable multi-platform analytics
• Comprehend design patterns and use Pig in cases related to complex analysis of pure structured data

In Detail

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.

Über die Autorin bzw. den Autor: Pradeep Pasupuleti has over 17 years of experience in architecting and developing distributed and real-time data-driven systems. Currently, he focuses on developing robust data platforms and data products that are fuelled by scalable machine-learning algorithms, and delivering value to customers in addressing business problems by applying his deep technical insights.Pradeep founded Datatma expressly to humanize Big Data, simplify it, and unravel new value on a previously unimaginable scale in economy and scope. He has created COE (Centers of Excellence) to provide quick wins with data products that analyze high-dimensional multistructured data using scalable natural language processing and deep learning techniques. He has performed roles in technology consulting and advising Fortune 500 companies.Beulah Salome Purra has over 11 years of experience and specializes in building large-scale distributed systems. Her core expertise lies in working on Big Data Analytics. In her current role at ATMECS, her focus is on building robust and scalable data products that extract value from the organization's huge data assets.

Bibliografische Details

Titel: Pig Design Patterns
Verlag: Packt Publishing
Erscheinungsdatum: 2014
Einband: Paperback
Zustand: As New
Zustand des Schutzumschlags: No Jacket