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Enterprise Data Workflows with Cascading: Streamlined Enterprise Data Management and Analysis
     

Enterprise Data Workflows with Cascading: Streamlined Enterprise Data Management and Analysis

4.3 3
by Paco Nathan
 

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There is an easier way to build Hadoop applications. With this hands-on book, you’ll learn how to use Cascading, the open source abstraction framework for Hadoop that lets you easily create and manage powerful enterprise-grade data processing applications—without having to learn the intricacies of MapReduce.

Working with sample apps based

Overview

There is an easier way to build Hadoop applications. With this hands-on book, you’ll learn how to use Cascading, the open source abstraction framework for Hadoop that lets you easily create and manage powerful enterprise-grade data processing applications—without having to learn the intricacies of MapReduce.

Working with sample apps based on Java and other JVM languages, you’ll quickly learn Cascading’s streamlined approach to data processing, data filtering, and workflow optimization. This book demonstrates how this framework can help your business extract meaningful information from large amounts of distributed data.

  • Start working on Cascading example projects right away
  • Model and analyze unstructured data in any format, from any source
  • Build and test applications with familiar constructs and reusable components
  • Work with the Scalding and Cascalog Domain-Specific Languages
  • Easily deploy applications to Hadoop, regardless of cluster location or data size
  • Build workflows that integrate several big data frameworks and processes
  • Explore common use cases for Cascading, including features and tools that support them
  • Examine a case study that uses a dataset from the Open Data Initiative

Product Details

ISBN-13:
9781449359607
Publisher:
O'Reilly Media, Incorporated
Publication date:
07/11/2013
Sold by:
Barnes & Noble
Format:
NOOK Book
Pages:
170
File size:
5 MB

Related Subjects

Meet the Author

Paco Nathan is a Data Scientist at Concurrent, Inc., and heads up the developer outreach program there. He has a dual background from Stanford in math/stats and distributed computing, with 25+ years experience in the tech industry. As an expert in Hadoop, R, predictive analytics, machine learning, natural language processing, Paco has built and led several expert Data Science teams, with data infrastructure based on large-scale cloud deployments. He has presented twice on the AWS Start-Up Tour, and gives talks often about Hadoop, Data Science, and Cloud Computing.

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Enterprise Data Workflows with Cascading 4 out of 5 based on 0 ratings. 1 reviews.
FantasyRider More than 1 year ago
Enterprise Data Workflows with Cascading by Paco Nathan (O’Reilly Media) is a great summarization of using the Cascading API. Paco spends a sufficient amount of time providing a solid overview of Cascading along with an explanation of related extensions such as Pattern and Lingual. Test cases provided allow a novice user to quickly understand the basics of Cascading though some of the test cases followed along the same flows as the Cascading online documentation site. Enterprise Data Workflows with Cascading is a great resource for beginning users that need to quickly come up to speed on using Cascading. The book works the reader through evolutions of exercises such as setting up and loading files into Hadoop to using different types of joins along with finally reaching the point of integration points with the different languages and a larger case study based on the City of Palo Alto Open Data. I’d recommend Enterprise Data Workflows with Cascading as a good entry point and base work to build upon as the reader gains more experience.