logo

EbookBell.com

Most ebook files are in PDF format, so you can easily read them using various software such as Foxit Reader or directly on the Google Chrome browser.
Some ebook files are released by publishers in other formats such as .awz, .mobi, .epub, .fb2, etc. You may need to install specific software to read these formats on mobile/PC, such as Calibre.

Please read the tutorial at this link:  https://ebookbell.com/faq 


We offer FREE conversion to the popular formats you request; however, this may take some time. Therefore, right after payment, please email us, and we will try to provide the service as quickly as possible.


For some exceptional file formats or broken links (if any), please refrain from opening any disputes. Instead, email us first, and we will try to assist within a maximum of 6 hours.

EbookBell Team

Beginning Apache Pig Big Data Processing Made Easy Balaswamy Vaddeman

  • SKU: BELL-5684564
Beginning Apache Pig Big Data Processing Made Easy Balaswamy Vaddeman
$ 31.00 $ 45.00 (-31%)

4.0

86 reviews

Beginning Apache Pig Big Data Processing Made Easy Balaswamy Vaddeman instant download after payment.

Publisher: Apress
File Extension: PDF
File size: 10.2 MB
Pages: 285
Author: Balaswamy Vaddeman
ISBN: 9781484223369, 9781484223376, 1484223365, 1484223373
Language: English
Year: 2017

Product desciption

Beginning Apache Pig Big Data Processing Made Easy Balaswamy Vaddeman by Balaswamy Vaddeman 9781484223369, 9781484223376, 1484223365, 1484223373 instant download after payment.

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. Youll 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. Youll also see how to extend the framework by writing UDFs and custom load, store, and filter functions. Finally youll cover different optimization techniques such as gathering 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 Latin code Solve different use cases for Pig Latin Who This Book Is For All levels of IT professionals: architects, big data enthusiasts, engineers, developers, and big data administrators

Related Products