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1. WEL COME TO
HADOOP ONLINE TRINING

2. 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

3.  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

4.  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

6. 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.

8. 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

9. 1 .H Base
2. H Base concepts
3. H Base architecture
4. Basics of H Base
5. Server architecture
6. File storage architecture
7. Column access
8. Scans

10. By
IT HUB ONLINE TRAINING
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