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Hadoop training in Uttaranchal - Top institutes with Course Fees

List of 5+ Hadoop training institutes located near to you in Uttaranchal on April 1, 2020. Get access to training curriculum, course fees, contact phone numbers and students reviews.

 

Dehradun, Uttaranchal

 

training institute
Address: 2ND FLOOR JAIN COMPLEX GMS ROAD OPPOSITE HOTEL SAFFRON LEAF Dehradun Uttaranchal-248001

SLOG SOLUTIONS PRIVATE LIMITED classes are Hadoop, Apache Spark 2.4, Apache Hadoop, Hadoop Admin course fees.
 
Dehradun, Uttaranchal

 

training institute
Address: First Floor, Lal Pul Opposite hotel Doon Near BSNL Niranjpur Dehradun Uttaranchal-248121

Brillica Services Pvt. Ltd. classes are Hadoop, Apache HBase, Apache Pig, Apache Sqoop course fees.
 
Nainital, Uttaranchal
No Reviews. Write a Review

 

training institute

Indian Cyber Defence Alliance classes are Hadoop, Apache Spark 2.4, Apache Pig course fees.
 
Nainital, Uttaranchal
No Reviews. Write a Review

 

training institute
Address: Bhimtal Nainital Uttaranchal-263136

Augur Academy of Excellence classes are Hadoop, Bigdata Hadoop course fees.
 
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Hadoop training institutes in uttaranchal - List by Location

 

 

 

 

 

 

 

 

Course content & topics of Hadoop Training in uttaranchal

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

 

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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