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Enterprise Data Workflows with Cascading
Paco Nathan
€ 43.99
€ 41.37
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Description for Enterprise Data Workflows with Cascading
Paperback. 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. Num Pages: 170 pages, illustrations (black and white). BIC Classification: UNC. Category: (XV) Technical / Manuals. Dimension: 232 x 179 x 9. Weight in Grams: 298.
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 ... Read more
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 ... Read more
Product Details
Format
Paperback
Publication date
2013
Publisher
O´Reilly Media United States
Number of pages
170
Condition
New
Number of Pages
350
Place of Publication
Sebastopol, United States
ISBN
9781449358723
SKU
V9781449358723
Shipping Time
Usually ships in 7 to 11 working days
Ref
99-1
About Paco Nathan
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, ... Read more
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