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Hadoop training Khadki Pune, apache hadoop bigdata training institutes Khadki Pune

List of Best Hadoop training Khadki Pune, apache hadoop training institutes Khadki Pune, hadoop big data training Khadki Pune with address, Phone numbers, course fee, student reviews and training course learning at Khadki area in Pune City. As of April 22, 2018, We have total of 1 Hadoop training institutes in and around also near to Khadki in Pune.

 

 

training institutes Learn Well Technocraft
Pune - Aundh

 

training institute

 

Learn Well Technocraft at Aundh - class room	 photo_17327 Learn Well Technocraft at Aundh - institute name board	 photo_17322 Learn Well Technocraft at Aundh - class room	 photo_17323 
Address: Building C-2, No-11, Elite Garden, Aundh, Pune-411007 google map of 5846
Learn Well Technocrafts - Your personalized Datawarehousing store. Celebrating successful 7th year of quality training and 3,500 successful candidates in Pune. Learn Well Technocraft provides placement Hadoop training in Khadki , Hive, Apache Mahout, Apache HBase, Bigdata Hadoop, Apache Hadoop training classes at Aundh.
 
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Hadoop related Training courses in khadki

 

 

 

 

 

 

 

Best Hadoop training institutes in khadki, pune - Training Requirements

List of training requirements recieved for Best Hadoop training centers in khadki, pune.


RAJNIKANT PARMAR (khadki Pune on 30-Sep-2015 )
I am interested for BIG data Hadoop training. Please suggest me. - hadoop training in pune (khadki)
 


 

Hadoop course Content / syllabus at khadki, pune.

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

 

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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