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Verfasst von:Achari, Shiva [VerfasserIn]   i
Titel:Hadoop essentials
Titelzusatz:delve into the key concepts of Hadoop and get a thorough understanding of the Hadoop ecosystem
Verf.angabe:Shiva Achari.
Verlagsort:Birmingham, UK
Verlag:Packt Publishing
Jahr:2015
Umfang:1 online resource (1 volume)
Illustrationen:illustrations
Gesamttitel/Reihe:Community experience distilled
Fussnoten:Includes index. - Description based on online resource; title from title page (Safari, viewed May 15, 2015)
ISBN:978-1-78439-046-4
 1-78439-046-1
Abstract:Delve into the key concepts of Hadoop and get a thorough understanding of the Hadoop ecosystem In Detail This book jumps into the world of Hadoop ecosystem components and its tools in a simplified manner, and provides you with the skills to utilize them effectively for faster and effective development of Hadoop projects. Starting with the concepts of Hadoop YARN, MapReduce, HDFS, and other Hadoop ecosystem components, you will soon learn many exciting topics such as MapReduce patterns, data management, and real-time data analysis using Hadoop. You will also get acquainted with many Hadoop ecosystem components tools such as Hive, HBase, Pig, Sqoop, Flume, Storm, and Spark. By the end of the book, you will be confident to begin working with Hadoop straightaway and implement the knowledge gained in all your real-world scenarios. What You Will Learn Get introduced to Hadoop, big data, and the pillars of Hadoop such as HDFS, MapReduce, and YARN Understand different use cases of Hadoop along with big data analytics and real-time analysis in Hadoop Explore the Hadoop ecosystem tools and effectively use them for faster development and maintenance of a Hadoop project Demonstrate YARN's capacity for database processing Work with Hive, HBase, and Pig with Hadoop to easily figure out your big data problems Gain insights into widely used tools such as Sqoop, Flume, Storm, and Spark using practical examples
URL:Aggregator: https://learning.oreilly.com/library/view/-/9781784396688/?ar
Datenträger:Online-Ressource
Sprache:eng
Sach-SW:Apache Hadoop
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K10plus-PPN:1680224336
 
 
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