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Learning Cascading

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子标题:Build reliable, robust, and high-performance big data applications using the Cascading application development efficiently

Learning Cascading
作者:
Michael Covert, Victoria Loewengart
ISBN-10:
1785288911
出版年份:
2015
页数:
281
语言:
English
文件大小:
4.75 MB
文件格式:
PDF

图书描述

Cascading is open source software that is used to create and execute complex data processing workflows on big data clusters. The book starts by explaining how Cascading relates to core big data technologies such as Hadoop MapReduce. Having instilled an understanding of the technology, the book provides a comprehensive introduction to the Cascading paradigm and its components using code examples. You will not only learn more advanced Cascading features, you will also write code to utilize them. Furthermore, you will gain in-depth knowledge of how to efficiently optimize a Cascading application. To deepen your knowledge and experience with Cascading, you will work through a real-life case study using Natural Language Processing to perform text analysis and search on large volumes of unstructured text. Throughout the book, you will receive expert advice on how to use the portions of the product that are undocumented or have limited documentation. By the end of the book, you will be able to build practical Cascading applications.

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