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Titlebook: Beginning Apache Pig; Big Data Processing Balaswamy Vaddeman Book 2016 Balaswamy Vaddeman 2016 Apache Pig.Grunt.Pig Latin.HCatalogue.HCata

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發(fā)表于 2025-3-21 17:19:13 | 只看該作者 |倒序?yàn)g覽 |閱讀模式
期刊全稱Beginning Apache Pig
期刊簡(jiǎn)稱Big Data Processing
影響因子2023Balaswamy Vaddeman
視頻videohttp://file.papertrans.cn/183/182231/182231.mp4
發(fā)行地址Only Pig book that talks about Pig jobs scheduling using Oozie.Only Pig book that talks about how to submit Pig jobs using Hue.One stop shop for all Apache Pig needs
圖書封面Titlebook: Beginning Apache Pig; Big Data Processing  Balaswamy Vaddeman Book 2016 Balaswamy Vaddeman 2016 Apache Pig.Grunt.Pig Latin.HCatalogue.HCata
影響因子Learn to use Apache Pig to develop lightweight big data applications easily and quickly. This book shows you many optimization techniques and covers every context where Pig is used in big data analytics.?.Beginning Apache Pig.?shows you how Pig is easy to learn and requires relatively little time to develop big data applications..The book is divided into four parts: the complete features of Apache Pig; integration with other tools; how to solve complex business problems; and optimization of tools..You‘ll discover topics such as MapReduce and why it cannot meet every business need; the features of Pig Latin such as data types for each load, store, joins, groups, and ordering; how Pig workflows can be created; submitting Pig jobs using Hue; and working with Oozie. You‘ll also see how to extend the framework by writing UDFs and custom load, store, and filter functions. Finally you‘ll cover different optimization techniques such asgathering statistics about a Pig script, joining strategies, parallelism, and the role of data formats in good performance..What You Will Learn.? Use all the features of Apache Pig.? Integrate Apache Pig with other tools.? Extend Apache Pig.? Optimize Pig Lat
Pindex Book 2016
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發(fā)表于 2025-3-21 22:36:46 | 只看該作者
HCatalog,aintains metadata so that users can run any number of queries on already created tables. However, data processing technologies such as MapReduce and Pig do not have a built-in metadata service, so users must define a schema each time they want to run a query.
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發(fā)表于 2025-3-22 01:26:40 | 只看該作者
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發(fā)表于 2025-3-22 09:24:00 | 只看該作者
Yun Zhai,Alper Yilmaz,Mubarak Shahies also interact with one another. For instance, a certain step n in the workflow can be executed if and only if step n-1 has been successfully executed. Manually executing each of these multiple steps is time-consuming. Apache Oozie addresses this problem by providing dependency management among d
6#
發(fā)表于 2025-3-22 14:07:35 | 只看該作者
Joaquim Arlandis,Paul Over,Wessel Kraaijaintains metadata so that users can run any number of queries on already created tables. However, data processing technologies such as MapReduce and Pig do not have a built-in metadata service, so users must define a schema each time they want to run a query.
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發(fā)表于 2025-3-23 04:45:58 | 只看該作者
Yun Zhai,Alper Yilmaz,Mubarak Shahies also interact with one another. For instance, a certain step n in the workflow can be executed if and only if step n-1 has been successfully executed. Manually executing each of these multiple steps is time-consuming. Apache Oozie addresses this problem by providing dependency management among different steps and technologies.
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發(fā)表于 2025-3-23 07:05:48 | 只看該作者
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