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Hadoop training Ramesh Nagar Delhi-NCR, apache hadoop bigdata training institutes Ramesh Nagar Delhi-NCR

List of Best Hadoop training Ramesh Nagar Delhi-NCR, apache hadoop training institutes Ramesh Nagar Delhi-NCR, hadoop big data training Ramesh Nagar Delhi-NCR with address, Phone numbers, course fee, student reviews and training course learning at Ramesh Nagar area in Delhi-NCR City. As of March 19, 2018, We have total of 2 Hadoop training institutes in and around also near to Ramesh Nagar in Delhi-NCR.



training institutes HeadStart Education
Delhi-NCR - Sector 2


Best Institute


HeadStart Education at Sector 2 - class room	 photo_16910 HeadStart Education at Sector 2 - training campus photo_16911 
Address: 174 Rajendra Bhawan opp e metro Rajendra Place Delhi-NCR-110008
HEADSTAR TECHNOLOGIES is the leading learning solutions and professional services provider in India. HEADSTAR TECHNOLOGIES is focused on meeting the growing need for Information and Communication. HeadStart Education provides placement Hadoop training in Ramesh Nagar , Hive, Apache Mahout, Apache HBase, Bigdata Hadoop, Apache Hadoop training classes at Sector 2.
training institutes ANS Classes
Delhi-NCR - Punjabi Bagh


Best Institute
Address: near shivaji park metro station Punjabi Bagh Delhi-NCR-110026
ANS Classes,Delhi provide total training solutions to business in IT and other important areas. In addition to customized in-company program's, we offer a wide range of public courses ANS Classes provides placement Hadoop training in Ramesh Nagar , Apache Mahout, Apache HBase, Bigdata Hadoop, Apache Hadoop training classes at Punjabi Bagh.
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Hadoop related Training courses in ramesh-nagar









Hadoop course Content / syllabus at ramesh-nagar, delhi-ncr.

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