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Content
HADOOP ONLINE TRINING
HADOOP
Introduction:
Distributed file system of Hadoop
Map reduction of Hadoop works
Hadoop cluster and its anatomy
Hadoop demons
Master demons
Name node
Tracking of job
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High availably of data
Block placement and cluster
architecture
CASE STUDIES
Practices & Tuning of performances
Development of mass reduce
programs
Local mode
Running without HDFS
Pseudo-distributed mode
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Setup of Hadoop cluster of Cloud era,
Apache, Green plum, Horton works
On a single desktop, make a full cluster of a
Hadoop setup.
Configure and Install Apache Hadoop on a
multi node cluster.
In a distributed mode, configure and install
Cloud era distribution.
In a fully distributed mode, configure and
install Hortom works distribution
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What is Hadoop:
Hadoop is a free, Java-based programming
framework that supports the processing of
large data sets in a distributed computing
environment. It is part of the Apache project
sponsored by the Apache Software
Foundation.
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HADOOP
Apache Hive is the most widely adopted data
access technology, though there are many
specialized engines. For instance, Apache Pig
provides scripting capabilities, Apache Storm
offers real-time processing, Apache Base
offers columnar No SQL storage and Apache
Accumulate offers cell-level access control.
All of these engines can work across one set
of data and resources thanks to YARN and
intermediate engines such as Apache Tea for
interactive access and Apache Slider for longrunning applications
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.H Base
H Base concepts
H Base architecture
Basics of H Base
Server architecture
File storage architecture
Column access
Scans
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