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Hadoop training in Thrissur - Top institutes with Course Fees

List of 6+ Hadoop training institutes located near to you in Thrissur on October 21, 2019. Get access to training curriculum, course fees, contact phone numbers and students reviews.

 

Best Hadoop training in Thrissur
CMS IT Training Institute- Thrissur at Thrissur - class room	 photo_9376 CMS IT Training Institute- Thrissur at Thrissur - training lab photo_8238 
Address: SHANKARAYYER JUNCTION, GRACE COMPLEX, Thrissur -680004

CMS Institute Thrissur is IT training unit of the 4th largest IT Services Company in India.We are focused completely on providing placements through industry demand IT skills training. CMS IT Training Institute- Thrissur classes are Hadoop, Apache Hadoop, Bigdata Hadoop, Apache Sqoop course fees.
 
Thrissur, Thrissur
No Reviews. Write a Review

 

Best Hadoop training in Thrissur

SMEClabs Thrissur classes are Hadoop, Apache HBase, Apache Mahout, Apache Pig course fees.
 
Thrissur City, Thrissur
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training institute

Aislenter Technologies classes are Hadoop, Hive, Apache Hadoop, Hadoop Admin course fees.
 
Thrissur City, Thrissur
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training institute

ATEES Industrial Training classes are Hadoop, Hadoop Admin, Apache Pig, Apache Spark 2.4 course fees.
 
training institute

Centre for Skill Enhancement and Employability Development classes are Hadoop, Apache HBase, Bigdata Hadoop, Hive course fees.
 
Thrissur City, Thrissur
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training institute

RAPID TECHS classes are Hadoop, Apache Mahout, Apache HBase, Hive course fees.
 
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Course content & topics of Hadoop Training in thrissur

Hadoop course content and key topics covered in thrissur may vary from one training institute to another training provider . However our Hadoop course training experts thrissur 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 thrissur.

 

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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