Do I need a book on Hadoop?
I wanted to consult with you. Do I need a book on Hadoop?
On Amazon, this book caught my attention, but there is no clarity: should it be published in Russian?
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From this guide, you will learn how to create and maintain reliable, scalable, distributed systems with Apache Hadoop. This book is ideal for programmers, for analyzing data of any size, and for administrators who want to install and run Hadoop clusters.
The publication covers the latest changes in Hadoop, including materials on the new MapReduce environment called MapReduce 2, which is based on the YARN (Yet Another Resource Negotiator) system - a common resource management system for distributed applications.
It is described:
• Storage of large datasets with Hadoop and Distributed File System (HDFS)
• Run distributed computing with MapReduce
• Use of Hadoop and I / O data, blocks for compression, data integrity, serialization (including Avro)
• Advanced features for writing real MapReduce programs.
• Designing, creating, and administering dedicated Hadoop clusters or running Hadoop in the cloud
• Load data from relational databases to HDFS using Sqoop
• Perform data processing with the Pig query language
• Data Analysis, Hadoop Data Warehouse
• HBase for structured and partially structured data
about the author
Tom White has been the head of Apache Hadoop since February 2007 and is a member of the Apache Software Foundation. He works for Cloudera, a company created to support and train Hadoop technology. He was previously an independent Hadoop consultant. He is the author of numerous articles for O'Reilly, java.net and IBM DeveloperWorks, and has spoken at several conferences, including ApacheCon 2008 at Hadoop. Tom holds a bachelor’s degree in mathematics from the University of Cambridge and a master’s degree in philosophy from the University of Leeds, UK.
PROTOTYPE
Thank you for your responses.
On Amazon, this book caught my attention, but there is no clarity: should it be published in Russian?
annotation
')
From this guide, you will learn how to create and maintain reliable, scalable, distributed systems with Apache Hadoop. This book is ideal for programmers, for analyzing data of any size, and for administrators who want to install and run Hadoop clusters.
The publication covers the latest changes in Hadoop, including materials on the new MapReduce environment called MapReduce 2, which is based on the YARN (Yet Another Resource Negotiator) system - a common resource management system for distributed applications.
It is described:
• Storage of large datasets with Hadoop and Distributed File System (HDFS)
• Run distributed computing with MapReduce
• Use of Hadoop and I / O data, blocks for compression, data integrity, serialization (including Avro)
• Advanced features for writing real MapReduce programs.
• Designing, creating, and administering dedicated Hadoop clusters or running Hadoop in the cloud
• Load data from relational databases to HDFS using Sqoop
• Perform data processing with the Pig query language
• Data Analysis, Hadoop Data Warehouse
• HBase for structured and partially structured data
about the author
Tom White has been the head of Apache Hadoop since February 2007 and is a member of the Apache Software Foundation. He works for Cloudera, a company created to support and train Hadoop technology. He was previously an independent Hadoop consultant. He is the author of numerous articles for O'Reilly, java.net and IBM DeveloperWorks, and has spoken at several conferences, including ApacheCon 2008 at Hadoop. Tom holds a bachelor’s degree in mathematics from the University of Cambridge and a master’s degree in philosophy from the University of Leeds, UK.
PROTOTYPE
Thank you for your responses.
Source: https://habr.com/ru/post/155989/
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