"Hadoop BigData Administraton" is no longer available

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Course type: Online Instructor led Course

Platform: Skype

Course ID: 13043

Course type: Online Instructor led Course

Platform: Skype

No Reviews Yet

Date and Time

Not decided yet.

Sijeesh picture

Btech in CSE

7 Years of Experience

About Sijeesh

I have 10+ years of IT experience .Expert in Hadoop Administration ( Hortonworks ,Cloudera and Apache flavor ), shell/perl development.
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About the Course

Hadoop Administration training for System Administrators is designed for technical operations personnel whose job is to install and maintain production Hadoop clusters in real world. We will cover Hadoop architecture and its components, installation process, monitoring and troubleshooting of the complex Hadoop issues. The training is focused on practical hands-on exercises and encourages open discussions of how people are using Hadoop in enterprises dealing with large data sets.

Topics Covered

1.Introduction to Hadoop

The amount of data processing in today’s life
What Hadoop is why it is important?
Hadoop comparison with traditional systems
Hadoop history
Hadoop main components and architecture

2.Hadoop Distributed File System (HDFS)
HDFS overview and design
HDFS architecture
HDFS file storage
Component failures and recoveries
Block placement
Balancing the Hadoop cluster

3.Planning your Hadoop cluster
Planning a Hadoop cluster and its capacity
Hadoop software and hardware configuration
HDFS Block replication and rack awareness
Network topology for Hadoop cluster

4.Hadoop Deployment
Different Hadoop deployment types
Hadoop distribution options
Hadoop competitors
Hadoop installation procedure
Distributed cluster architecture
Lab: Hadoop Installation

5.Working with HDFS
Ways of accessing data in HDFS
Common HDFS operations and commands
Different HDFS commands
Internals of a file read in HDFS
Data copying with ‘distcp’
Lab: Working with HDFS

6.Map-Reduce Abstraction
What MapReduce is and why it is popular
The Big Picture of the MapReduce
MapReduce process and terminology
MapReduce components failures and recoveries
Working with MapReduce

7.Hadoop Cluster Configuration
Hadoop configuration overview and important configuration file
Configuration parameters and values
HDFS parameters MapReduce parameters
Hadoop environment setup
‘Include’ and ‘Exclude’ configuration files
Lab: MapReduce Performance Tuning

8.Hadoop Administration and Maintenance
Namenode/Datanode directory structures and files
File system image and Edit log
The Checkpoint Procedure
Namenode failure and recovery procedure
Safe Mode
Metadata and Data backup
Potential problems and solutions / what to look for
Adding and removing nodes
Lab: MapReduce File system Recovery

9.Hadoop Monitoring and Troubleshooting
Best practices of monitoring a Hadoop cluster
Using logs and stack traces for monitoring and troubleshooting
Using open-source tools to monitor Hadoop cluster

10.Job Scheduling
How to schedule Hadoop Jobs on the same cluster
Default Hadoop FIFO Schedule
Fair Scheduler and its configuration

11.High Availability Fedration, Yarn and Security

Who should attend

Linux Admins / DBA /Fresh Graduates /System Administrators and Support Engineers who will maintain and troubleshoot Hadoop clusters in production or development environments.


Basic knowledge of unix and system administration. Prior knowledge of Hadoop is not required.

What you need to bring

Laptop / notepad & pen ( one - one training )

Key Takeaways

Concept of BigData and Hadoop
Installation and Administration of Hadoop cluster
Cloudera / Hortonworks


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