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Hadoop training in Gujarat - Top institutes with Course Fees

List of 9+ Hadoop training institutes located near to you in Gujarat on April 1, 2020. Get access to training curriculum, course fees, contact phone numbers and students reviews.

 

Rajkot, Gujarat
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training institute

WEBCARE INFOWAY classes are Hadoop, Hive, Apache Storm, Apache Sqoop course fees.
 
Vadodara, Gujarat
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training institute

BIT Baroda Institute of Technology classes are Hadoop, Apache Mahout, Hive, Bigdata Hadoop course fees.
 
Vadodara, Gujarat

 

training institute

Weltec Institute classes are Hadoop, Hadoop Admin, Apache Spark 2.4 course fees.
 
training institute

Bright Computer Education Institute classes are Hadoop, Apache Spark 2.4 course fees.
 
Anand, Gujarat
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training institute

TechNet Consultancy classes are Hadoop, Apache Mahout course fees.
 
Baroda, Gujarat
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training institute
tusharhindia at Baroda - training campus photo_10910 tusharhindia at Baroda - training room	 photo_10908 
Address: 8,Jawahar Society R.V.Desai Road Baroda Gujarat-390001

tusharhindia classes are Hadoop, Apache Mahout, Bigdata Hadoop course fees.
 
Gandhinagar, Gujarat
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training institute
Address: Mansuri Society, Gandhinagar, Gujarat-380051

Attune University classes are Hadoop, Apache Hadoop course fees.
 
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Hadoop training institutes in gujarat - List by Location

 

 

 

 

 

 

 

 

Course content & topics of Hadoop Training in gujarat

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

 

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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