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Hadoop training in Maharashtra - Top institutes with Course Fees

List of 4+ Hadoop training institutes located near to you in Maharashtra on February 22, 2020. Get access to training curriculum, course fees, contact phone numbers and students reviews.

 

Aurangabad, Maharashtra
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training institute
Address: S-97, FBP, Vashi, Navi Mumbai Aurangabad Maharashtra

FAB SOFTWARE STOCK (India) classes are Hadoop, Apache Storm, Hive, Apache HBase course fees.
 
Kolhapur, Maharashtra

 

training institute

Satej Infotech classes are Hadoop, Hadoop Admin, Apache Spark 2.4, Apache Storm course fees.
 
Nashik, Maharashtra
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training institute

TechnoKraft Training & Solutions classes are Hadoo course fees.
 
Amravati, Maharashtra

 

training institute
MindScripts Technologies at Amravati - course counseling photo_9969 MindScripts Technologies at Amravati - class room	 photo_9968 
Address: MindScripts, 1st Floor, Near Rangoli Hotel, Khaparde Garden, Amravati Maharashtra-444601

MindScripts Technologies classes are Hadoop, Apache Mahout, Bigdata Hadoop, Apache HBase course fees.
 
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Hadoop training institutes in maharashtra - List by Location

 

 

 

 

 

 

 

 

Course content & topics of Hadoop Training in maharashtra

Hadoop course content and key topics covered in maharashtra may vary from one training institute to another training provider . However our Hadoop course training experts maharashtra has identifed the list of topics which helps job oriented course training and most of the course content are focused on Hadoop placement training course training. The Hadoop course syllabus covers basic to advanced level course contents which is used by most of Hadoop training classes in maharashtra.

 

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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