KEVIN SITTO & MARSHALL PRESSER
FIELD GUIDE TO
Hadoop
An Introduction to Hadoop, Its Ecosystem,
and Aligned Technologies
FIELD GUIDE TO HADOOP
DATA | HADOOP
Field Guide to Hadoop
Twitter: @oreillymedia
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ISBN: 978-1-491-94793-7
US $39.99 CAN $45.99
If your organization is about to enter the world of big data, you not only need to
decide whether Apache Hadoop is the right platform to use, but also which of its many
components are best suited to your task. This field guide makes the exercise manageable
by breaking down the Hadoop ecosystem into short, digestible sections. You’ll quickly
understand how Hadoop’s projects, subprojects, and related technologies work together.
Each chapter introduces a different topic—such as core technologies or data transfer—and
explains why certain components may or may not be useful for particular needs. When
it comes to data, Hadoop is a whole new ballgame, but with this handy reference, you’ll
have a good grasp of the playing field.
Topics include:
■ Core technologies—Hadoop Distributed File
System (HDFS), MapReduce, YARN, and Spark
■ Database and data management—Cassandra,
HBase, MongoDB, and Hive
■ Serialization—Avro, JSON, and Parquet
■ Management and monitoring—Puppet, Chef,
Zookeeper, and Oozie
■ Analytic helpers—Pig, Mahout, and MLLib
■ Data transfer—Scoop, Flume, distcp, and Storm
■ Security, access control, and auditing—Sentry,
Kerberos, and Knox
■ Cloud computing and virtualization—Serengeti,
Docker, and Whirr
Kevin Sitto is a field solutions engineer with Pivotal Software, providing consulting services to
help customers understand and address their big data needs.
Marshall Presser is a member of the Pivotal Data Engineering group. He helps customers solve
complex analytic problems with Hadoop, Relational Database, and In Memory Data Grid.
Sitto & Presser
www.it-ebooks.info