WEL COME TO
HADOOP ONLINE TRINING
HADOOP Introduction: Distributed Map
file system of Hadoop
reduction of Hadoop works
Hadoop
cluster and its anatomy
Hadoop
demons
Master Name
demons
node
Tracking
of job
HADOOP High
availably of data
Block
placement and cluster architecture
CASE
STUDIES
Practices
& Tuning of performances
Development Local
of mass reduce programs
mode
Running
without HDFS
Pseudo-distributed
mode
HADOOP 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
HADOOP
HADOOP 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.
HADOOP
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 long-running applications
HADOOP 2. 3. 4. 5. 6. 7. 8.
1 .H Base H Base concepts H Base architecture Basics of H Base Server architecture File storage architecture Column access Scans
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