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

Paco Nathan
4.9/5 (24409 ratings)
Read Now Download Now ⏭ listen AudioBook
Description: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 awayModel and analyze unstructured data in any format, from any sourceBuild and test applications with familiar constructs and reusable componentsWork with the Scalding and Cascalog Domain-Specific LanguagesEasily deploy applications to Hadoop, regardless of cluster location or data sizeBuild workflows that integrate several big data frameworks and processesExplore common use cases for Cascading, including features and tools that support themExamine a case study that uses a dataset from the Open Data InitiativeWe have made it easy for you to find a PDF Ebooks without any digging. And by having access to our ebooks online or by storing it on your computer, you have convenient answers with Enterprise Data Workflows with Cascading: Streamlined Enterprise Data Management and Analysis. To get started finding Enterprise Data Workflows with Cascading: Streamlined Enterprise Data Management and Analysis, you are right to find our website which has a comprehensive collection of manuals listed.
Our library is the biggest of these that have literally hundreds of thousands of different products represented.
Pages
170
Format
PDF, EPUB & Kindle Edition
Publisher
O'Reilly Media
Release
2013
ISBN
1449359612

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

Paco Nathan
4.4/5 (1290744 ratings)
Read Now Download now ⏭ listen AudioBook
Description: 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 awayModel and analyze unstructured data in any format, from any sourceBuild and test applications with familiar constructs and reusable componentsWork with the Scalding and Cascalog Domain-Specific LanguagesEasily deploy applications to Hadoop, regardless of cluster location or data sizeBuild workflows that integrate several big data frameworks and processesExplore common use cases for Cascading, including features and tools that support themExamine a case study that uses a dataset from the Open Data InitiativeWe have made it easy for you to find a PDF Ebooks without any digging. And by having access to our ebooks online or by storing it on your computer, you have convenient answers with Enterprise Data Workflows with Cascading: Streamlined Enterprise Data Management and Analysis. To get started finding Enterprise Data Workflows with Cascading: Streamlined Enterprise Data Management and Analysis, you are right to find our website which has a comprehensive collection of manuals listed.
Our library is the biggest of these that have literally hundreds of thousands of different products represented.
Pages
170
Format
PDF, EPUB & Kindle Edition
Publisher
O'Reilly Media
Release
2013
ISBN
1449359612

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