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

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

 

 

training institutes MIIT Technologies
Bangalore - Bommanahalli
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Best Institute
Address: #.433/356, 3rd Floor Mangammanpalya Main Road Bommanahalli Bangalore-560068 google map of 11099
MIIT Technologies provides placement Hadoop training in Attibele , Hive, Apache Mahout, Apache HBase, Bigdata Hadoop, Apache Hadoop training classes at Bommanahalli.
 
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Systems Domain -Marathahalli / Bellandur at Bellandur - job counseling	 photo_2939 Systems Domain -Marathahalli / Bellandur at Bellandur - theory class	 photo_2943 Systems Domain -Marathahalli / Bellandur at Bellandur - course counseling photo_2941 
Address: #2, #rd Floor, Balaji Complex, Marathahalli Main Road, Bellandur, Bangalore-560034 google map of 7808
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 -Marathahalli / Bellandur provides placement Hadoop training in Attibele , Apache Mahout, Apache HBase, Bigdata Hadoop, Apache Hadoop training classes at Bellandur.
 
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Hadoop related Training courses in attibele

 

 

 

 

 

 

 

 

Hadoop course Content / syllabus at attibele, bangalore.

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

 

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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