Format:
XXIII, 657 S. :
,
Ill., graph. Darst.
Edition:
3. ed., [rev. & updated]
ISBN:
978-1-449-31152-0
,
1-449-31152-0
Content:
Contents: Meet Hadoop -- MapReduce -- The Hadoop distributed filesystem -- Hadoop I/O -- Developing a MapReduce application -- How MapReduce works -- MapReduce types and formats -- MapReduce features -- Setting up a Hadoop cluster -- Administering Hadoop -- Pig -- Hive -- HBase -- ZooKepper -- Sqoop -- Case studies -- Installing Apache Hadoop -- Cloudera's distribution including Apache Hadoop -- Preparing the NCDC weather data.
Language:
English
Subjects:
Computer Science
Keywords:
Hadoop
;
Verteiltes System
;
Framework
;
Big Data
;
Open Source
;
Dateiorganisation
;
Cluster-Analyse
