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Hadoop training Mangalore, apache hadoop bigdata training institutes Mangalore - Listings

List of Best Hadoop training Mangalore, apache hadoop training institutes Mangalore, hadoop big data training Mangalore with address, Phone numbers, course fee, student reviews and training course learning options in Mangalore. We have total of 2 Hadoop training institutes in Mangalore as of April 26, 2018

 

List of Hadoop training institutes Mangalore with student training reviews, course fees and Course learning

 

Kodiabail, Mangalore
No Reviews. Write a Review

 

training institute

SMEC labs conducts Hadoop, Bigdata Hadoop, Apache HBase, Apache Hadoop training in Mangalore.
 
Kodiabail, Mangalore
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training institute
Address: 3rd floor Ibrose complex MG Road Kodiabail Mangalore-575003

Project4u conducts Hadoop, Bigdata Hadoop training in Mangalore.
 
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Best Hadoop training institutes in mangalore - Training Requirements

List of Requests recieved for best Hadoop training institutes in mangalore.


manavi (kodiabail Mangalore on 13-Dec-2017 )
Bigdata Hadoop training cost with job assurance support - hadoop training in mangalore (kodiabail)
 
Syed (suratakal Mangalore on 22-Jun-2016 )
I need to learn Hadoop very well and get a job in mnc - hadoop training in mangalore (suratakal)
 


 

Hadoop course content / syllabus in mangalore

Hadoop course content and syllabus in mangalore may vary from one training institute to another training provider. However our Hadoop course training experts mangalore has identifed the list of topics which helps job oriented course training and most of the course content are focused on Hadoop placement training course training. The Hadoop course syllabus covers basic to advanced level course contents which is used by most of Hadoop training classes in mangalore.

 

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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