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Hadoop training Ekkaduthangal Chennai, apache hadoop bigdata training institutes Ekkaduthangal Chennai

List of Best Hadoop training Ekkaduthangal Chennai, apache hadoop training institutes Ekkaduthangal Chennai, hadoop big data training Ekkaduthangal Chennai with address, Phone numbers, course fee, student reviews and training course learning at Ekkaduthangal area in Chennai City. As of April 23, 2018, We have total of 4 Hadoop training institutes in and around also near to Ekkaduthangal in Chennai.

 

 

training institutes GENWISH Infotech
Chennai - Ekkaduthangal

 

training institute

 

GENWISH Infotech at Ekkaduthangal - institute name board	 photo_16292 
Address: 33,Jawaharlal nehru road, Ekkatuthangal Ekkaduthangal Chennai-600032
GENWISH Infotech provides placement Hadoop training in Ekkaduthangal , Hive, Apache Mahout, Apache HBase, Bigdata Hadoop, Apache Hadoop training classes at Ekkaduthangal.
 
training institutes Geoinsyssoft pvt ltd
Chennai - Ekkaduthangal
No Reviews. Write a Review

 

training institute
Address: No: 2, Fourth floor, Balaji Nagar, 1 st Main road, Ekkaduthangal Chennai-600032
Geoinsyssoft pvt ltd provides placement Hadoop training in Ekkaduthangal , Hive, Apache Mahout, Apache HBase, Bigdata Hadoop, Apache Hadoop training classes at Ekkaduthangal.
 
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Hadoop training centers in ekkaduthangal, chennai - Training Reviews

Find the training reviews of best Hadoop training institute in chennai ekkaduthangal and training placement reviews of Hadoop course training centers in ekkaduthangal chennai

 
Muthuvel R 5 Star Rating: Excellent Training (5-Excellent Training)
I would like to thank everyone in Genwish Infotech at Ekkattuthangal for supporting me through this Hadoop training. It has been a wonderful experience. I specially thank My trainer Mr.sathappan and each & everyone who has directly or indirectly contributed.
Thanks
Best place in Chennai to Study Big data Hadoop.
Institute reviewed : GENWISH Infotech in Chennai for Hadoop training in Chennai
 


 

Hadoop Placement training, Course fees, Trainer Profile in ekkaduthangal

GENWISH Infotech institute located at ekkaduthangal in chennai offers 25 Day(s) of Hadoop training course in Chennai with 100% Placement Assistance.

Our Professionals are working in Hadoop Having minimum of 5+ years of Experience in Hadoops tools like DFS, Map Reduce, Hive, Pig, HBase, OOzie, Flume, Sqoop, Sparksql, Spark core, Spark MLib, Machin

Hadoop live training content at Genwish Infotech
1. Introduction
• Distributed computing
• Cloud Computing
• Data Past, Present and Future
• Computing Past, Present and Future
• Hadoop
• NoSQL
2. Understanding Hadoop Stack
• MapReduce
• NoSQL
• CAP Theorem
• Databases: Key Value, Document, Graph
• HBase and Cassandra
• Hive and Pig
• HDFS
3. Understanding Data
• Data collection and generation
• Data Storage
• Data Retrieval
• Random Access vs. Sequential Access
• Disk is the new Tape – The Return of sequential access to data
4. Hands on Hadoop
• Hadoop Setup Single Node
• Cluster Nodes
• HDFS File System
• HBase Setup
• HBase Shell
5. Hands on to Data
• Working on Twitter Data
• Importing data into HBase
• Querying using HBase CLI
• Understanding data organization
• Hbase Internals
• Exercise: Solving various query using scan and get
6. Introduction to HBase
• Unlearning SQL
• Learning NoSQL
• Creating Table
• Understanding Column Families
• Unlearning Entity Relation
• Learning Column Value & Key Pair
• Unlearning Index & Query
• Learning Scan and Scan Only

7. Introduction to Hive
8. Introduction to Pig
9. Looking Data as large sparse matrix
10. Applying BI on large data
11. Exercise: Working with Twitter data
12. Exercise: Working with Facebook data

 

 

Hadoop course Content / syllabus at ekkaduthangal, chennai.

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

 

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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