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Hadoop training Warje Malwadi Pune, apache hadoop bigdata training institutes Warje Malwadi Pune

List of Best Hadoop training Warje Malwadi Pune, apache hadoop training institutes Warje Malwadi Pune, hadoop big data training Warje Malwadi Pune with address, Phone numbers, course fee, student reviews and training course learning at Warje Malwadi area in Pune City. As of March 20, 2018, We have total of 1 Hadoop training institutes in and around also near to Warje Malwadi in Pune.



training institutes Aspire Techsoft Pvt Ltd.
Pune - Karve Road


Best Institute


Aspire Techsoft Pvt Ltd. at Karve Road -  class room photo_14491 Aspire Techsoft Pvt Ltd. at Karve Road - center entrance	 photo_13333 Aspire Techsoft Pvt Ltd. at Karve Road - training lab photo_12560 
Address: Dahnukar colony, Kothrud, Karve Road, Pune-411029 google map of 7103
Aspire Technology, registered under Indian Trust Act 1960, is an Premier Organization established by Enterprising Entrepreneurs, keeping in mind the need of current Market Global Standards. Aspire Techsoft Pvt Ltd. provides placement Hadoop training in Warje Malwadi , Hive, Apache Mahout, Apache HBase, Bigdata Hadoop, Apache Hadoop training classes at Karve Road.
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Hadoop related Training courses in warje-malwadi








Best Hadoop training institutes in warje-malwadi, pune - Training Requirements

List of training requirements recieved for Best Hadoop training centers in warje-malwadi, pune.

Meenakshi Nanabhau Pingale (warje-malwadi Pune on 07-Oct-2014 )
complete practical knowledge of Hadoop and placement in Good company - hadoop training in pune (warje-malwadi)


Hadoop course Content / syllabus at warje-malwadi, pune.

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


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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