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Hadoop training Madanayakahalli Bangalore, apache hadoop bigdata training institutes Madanayakahalli Bangalore

List of Best Hadoop training Madanayakahalli Bangalore, apache hadoop training institutes Madanayakahalli Bangalore, hadoop big data training Madanayakahalli Bangalore with address, Phone numbers, course fee, student reviews and training course learning at Madanayakahalli area in Bangalore City. As of March 24, 2018, We have total of 2 Hadoop training institutes in and around also near to Madanayakahalli in Bangalore.



training institutes Systems Domain - Jalahalli
Bangalore - Jalahalli


Best Institute


Systems Domain -  Jalahalli at Jalahalli - placement training	 photo_2933 Systems Domain -  Jalahalli at Jalahalli - job counseling	 photo_2930 Systems Domain -  Jalahalli at Jalahalli - training workstations	 photo_2932 
Address: #12, 3rd Floor, Shabari Complex, Jalahalli Cross, Jalahalli Bangalore-560057 google map of 8086
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 - Jalahalli provides placement Hadoop training in Madanayakahalli , Hive, Apache Mahout, Apache HBase, Bigdata Hadoop, Apache Hadoop training classes at Jalahalli.
training institutes Linux World Informatics Pvt Ltd
Bangalore - Madanayakahalli
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training institute
Linux World Informatics Pvt Ltd provides placement Hadoop training in Madanayakahalli , Hive, Apache Mahout, Apache HBase, Bigdata Hadoop, Apache Hadoop training classes at Madanayakahalli.
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Hadoop related Training courses in madanayakahalli









Hadoop course Content / syllabus at madanayakahalli, bangalore.

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


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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