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Hadoop: The Definitive Guide: Storage And Analysis At Internet Scale
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eBay item number:365618520847
Item specifics
- Condition
- Book Title
- Hadoop: The Definitive Guide: Storage And Analysis At Intern...
- ISBN
- 9781491901632
About this product
Product Identifiers
Publisher
O'reilly Media, Incorporated
ISBN-10
1491901632
ISBN-13
9781491901632
eBay Product ID (ePID)
204304785
Product Key Features
Number of Pages
754 Pages
Publication Name
Hadoop: the Definitive Guide : Storage and Analysis at Internet Scale
Language
English
Subject
Programming / Parallel, Programming / Open Source, Data Processing, Databases / Data Mining
Publication Year
2015
Type
Textbook
Subject Area
Computers
Format
Trade Paperback
Dimensions
Item Height
1.6 in
Item Weight
43.9 Oz
Item Length
9.2 in
Item Width
7.2 in
Additional Product Features
Edition Number
4
Intended Audience
Scholarly & Professional
LCCN
2015-473822
Illustrated
Yes
Synopsis
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, 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 Number
QA76.9.F5
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