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Hadoop training Puthur Trichy, apache hadoop bigdata training institutes Puthur Trichy

List of Best Hadoop training Puthur Trichy, apache hadoop training institutes Puthur Trichy, hadoop big data training Puthur Trichy with address, Phone numbers, course fee, student reviews and training course learning at Puthur area in Trichy City. As of April 23, 2018, We have total of 2 Hadoop training institutes in and around also near to Puthur in Trichy.

 

 

training institutes Learning Center
Trichy - Puthur
No Reviews. Write a Review

 

training institute
Address: #60/30 Aruna Nagar Puthur Puthur Trichy-620017
Learning Center provides placement Hadoop training in Puthur , Hive, Apache Mahout, Apache HBase, Bigdata Hadoop, Apache Hadoop training classes at Puthur.
 
training institutes Learning Center
Trichy - Puthur
No Reviews. Write a Review

 

training institute
Address: 30/60 Aruna Nagar Puthur Trichy-620017
Learning Center provides placement Hadoop training in Puthur , Apache Mahout, Apache HBase, Bigdata Hadoop, Apache Hadoop training classes at Puthur.
 
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Hadoop related Training courses in puthur

 

 

 

 

 

Hadoop training centers in puthur, trichy - Training Reviews

Find the training reviews of best Hadoop training institute in trichy puthur and training placement reviews of Hadoop course training centers in puthur trichy

 
Rekha 3 Star Rating: Good Training(3-Good Training)
I'm a student of Amitysoft Trichy, Excellent training institute for software testing training and placement. I got placed at my very first interview itself. They are providing a real time training with live projects.
Institute reviewed : Amitysoft Technologies Pvt. Ltd., in Trichy for Hadoop training in Trichy
 


 

 

 

Hadoop course Content / syllabus at puthur, trichy.

We gathered most widely used Hadoop course content used by training institutes in puthur,trichy. The Hadoop course syllabus covers basic to advanced level and it may vary based on Hadoop training classes offered in puthur.

 

1 Introduction to Hadoop administration
1.1 HDFS design
1.2 HA Name node
1.3 Map reduce design
1.4 HAdoop daemons

2 Hadoop design consideration
2.1 Distributions &
2.2 versions
2.3 Planning
2.4 Hadoop in the cloud

3 Monitoring
3.1 Nagios
3.2 Gangila
3.3 JMX
3.4 logging
3.5 Clustering

4 Backup
4.1 Storage
4.2 Backup vs Disaster
4.3 recovery
4.4 Best practices

5 Optimization
5.1 Bottleneck
5.2 Preformance
5.3 File System
5.4 Worker Node
5.5 Networking
5.6 Comparisson

6 Troubleshooting
6.1 Data Node
6.2 Task Tracker
6.3 Job Tracker
6.4 Name Node

7 Security
7.1 Multi tenancy
7.2 Authentication &
7.3 Autherization
7.4 Kerberos
7.5 Security step by step

 

 

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