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Hadoop training Prashant Nagar Bangalore, apache hadoop bigdata training institutes Prashant Nagar Bangalore

List of Best Hadoop training Prashant Nagar Bangalore, apache hadoop training institutes Prashant Nagar Bangalore, hadoop big data training Prashant Nagar Bangalore with address, Phone numbers, course fee, student reviews and training course learning at Prashant Nagar area in Bangalore City. As of May 28, 2018, We have total of 1 Hadoop training institutes in and around also near to Prashant Nagar in Bangalore.

 

 

training institutes Systems Domain - Head Office
Bangalore - Jaya Nagar

 

Best Institute

 

Systems Domain - Head Office at Jaya Nagar - theory class	 photo_2887 Systems Domain - Head Office at Jaya Nagar - center entrance	 photo_2888 Systems Domain - Head Office at Jaya Nagar - computer lab	 photo_2889 
Address: Head Office, Jayanagar 3rd block, Lucky paradise building, 4th floor, Jaya Nagar, Bangalore-560011 google map of 8726
Established in the year 1997, System Domain is headquartered in Bangalore and has more than twelve training institutes located across India. Awarded an ISO 9001 in 2008 Systems Domain - Head Office provides placement Hadoop training in Prashant Nagar , Hive, Apache Mahout, Apache HBase, Bigdata Hadoop, Apache Hadoop training classes at Jaya Nagar.
 
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Hadoop related Training courses in prashant-nagar

 

 

 

 

 

 

 

 

Hadoop course Content / syllabus at prashant-nagar, bangalore.

We gathered most widely used Hadoop course content used by training institutes in prashant-nagar,bangalore. The Hadoop course syllabus covers basic to advanced level and it may vary based on Hadoop training classes offered in prashant-nagar.

 

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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