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Hadoop training Kompalli Hyderabad, apache hadoop bigdata training institutes Kompalli Hyderabad

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



training institutes BSIT Software Services Pvt Ltd
Hyderabad - Kompalli
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training institute
BSIT Software Services Pvt Ltd provides placement Hadoop training in Kompalli , Hive, Apache Mahout, Apache HBase, Bigdata Hadoop, Apache Hadoop training classes at Kompalli.
training institutes AniInfoSoft
Hyderabad - Kompalli


training institute
Address: Head Office :195 Mill st #B, Groton MA 01450,USA Branch Office :Sanjana Lake View,Gangasthan Dhulapally,Near Kompally,RR(Dist) Hyderabad-500014
AniInfoSoft provides placement Hadoop training in Kompalli , Bigdata Hadoop, Apache Hadoop training classes at Kompalli.
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Hadoop related Training courses in kompalli






Hadoop training centers in kompalli, hyderabad - Training Reviews

Find the training reviews of best Hadoop training institute in hyderabad kompalli and training placement reviews of Hadoop course training centers in kompalli hyderabad

raju 3 Star Rating: Good Training(3-Good Training)
very nice institute with excellent knowledge and patient . I recommend aniinfosoft very much for all the students in kompally and surrounding areas for informatica, hadoop and java courses.
Institute reviewed : AniInfoSoft in Hyderabad for Hadoop training in Hyderabad




Hadoop course Content / syllabus at kompalli, hyderabad.

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


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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