About this product

Product Identifiers

PublisherO'reilly Media, Incorporated

ISBN-101491901632

ISBN-139781491901632

eBay Product ID (ePID)204304785

Product Key Features

Number of Pages754 Pages

LanguageEnglish

Publication NameHadoop: the Definitive Guide : Storage and Analysis at Internet Scale

Publication Year2015

SubjectProgramming / Parallel, Programming / Open Source, Data Processing, Databases / Data Mining

TypeTextbook

Subject AreaComputers

AuthorTom White

FormatTrade Paperback

Dimensions

Item Height1.6 in

Item Weight43.9 Oz

Item Length9.2 in

Item Width7.2 in

Additional Product Features

Edition Number4

Intended AudienceScholarly & Professional

LCCN2015-473822

IllustratedYes

SynopsisGet ready to unlock the power of your data. With the fourth edition of this comprehensive guide, you'??ll learn how to build and maintain reliable, scalable, distributed systems with Apache Hadoop. This book is ideal for programmers looking to analyze datasets of any size, and for administrators who want to set up and run Hadoop clusters. Using Hadoop 2 exclusively, author Tom White presents new chapters on YARN and several Hadoop-related projects such as Parquet, Flume, Crunch, and Spark. You'??ll learn about recent changes to Hadoop, and explore new case studies on Hadoop'??s role in healthcare systems and genomics data processing. Learn fundamental components such as MapReduce, HDFS, and YARN Explore MapReduce in depth, including steps for developing applications with it Set up and maintain a Hadoop cluster running HDFS and MapReduce on YARN Learn two data formats: Avro for data serialization and Parquet for nested data Use data ingestion tools such as Flume (for streaming data) and Sqoop (for bulk data transfer) Understand how high-level data processing tools like Pig, Hive, Crunch, and Spark work with Hadoop Learn the HBase distributed database and the ZooKeeper distributed configuration service, Get ready to unlock the power of your data. With the fourth edition of this comprehensive guide, you'll learn how to build and maintain reliable, scalable, distributed systems with Apache Hadoop. This book is ideal for programmers looking to analyze datasets of any size, and for administrators who want to set up and run Hadoop clusters. Using Hadoop 2 exclusively, author Tom White presents new chapters on YARN and several Hadoop-related projects such as Parquet, Flume, Crunch, and Spark. You'll learn about recent changes to Hadoop, and explore new case studies on Hadoop's role in healthcare systems and genomics data processing. Learn fundamental components such as MapReduce, HDFS, and YARN Explore MapReduce in depth, including steps for developing applications with it Set up and maintain a Hadoop cluster running HDFS and MapReduce on YARN Learn two data formats: Avro for data serialization and Parquet for nested data Use data ingestion tools such as Flume (for streaming data) and Sqoop (for bulk data transfer) Understand how high-level data processing tools like Pig, Hive, Crunch, and Spark work with Hadoop Learn the HBase distributed database and the ZooKeeper distributed configuration service

LC Classification NumberQA76.9.F5