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

(ebook) (audiobook) (audiobook) Język publikacji: angielski
Autor:
Paco Nathan
Enterprise Data Workflows with Cascading. Streamlined Enterprise Data Management and Analysis Paco Nathan - okładka książki

Enterprise Data Workflows with Cascading. Streamlined Enterprise Data Management and Analysis Paco Nathan - okładka książki

Enterprise Data Workflows with Cascading. Streamlined Enterprise Data Management and Analysis Paco Nathan - okładka audiobooka MP3

Enterprise Data Workflows with Cascading. Streamlined Enterprise Data Management and Analysis Paco Nathan - okładka audiobooks CD

Ocena:
Bądź pierwszym, który oceni tę książkę
Stron:
170
Dostępne formaty:
     ePub
     Mobi

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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 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

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