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

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

 

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

 

Kannur City, Kannur
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Best training institute
Address: 3rd Floor, Hadi Arcade, Nr Bhima Jewellary, Thana, Kannur City -670012

CMS IT TRAINING INSTITUTE conducts Hadoop, Apache HBase, Apache Storm, Bigdata Hadoop, Hadoop Admin, Apache Mahout training in Kannur.
 
Kannur City, Kannur
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training institute
Address: 26, 1st Floor, S.N. Park, Sector-3, Belpada Kannur-410210

IIHT KHARGHAR conducts Hadoop, Apache HBase, Apache Mahout training in Kannur.
 
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Best Hadoop training institutes in kannur - Training Requirements

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


AKHIL V (kannur-city Kannur on 30-Sep-2014 )
i am Akhil, bioinformatition, working presently at Central Plantation Crops Research Institute (CPCRI),kasaragod, i want to work on big data(hadoop) for whole genome analysis. i wish to know whether "sesame" provides training on bigdata. if so, please let me know the details ASAP. Hadoop (hadoop) - hadoop training in kannur (kannur-city)
 


 

Hadoop course content / syllabus in kannur

Hadoop course content and syllabus in kannur may vary from one training institute to another training provider. However our Hadoop course training experts kannur 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 kannur.

 

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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