Best Hadoop Admin

1.Understanding Big Data and Hadoop 

Introduction to big data, limitations of existing solutions

Hadoop architecture, Hadoop components and ecosystem

Data loading & reading from HDFS

Replication rules, rack awareness theory

Hadoop cluster administrator

Roles and responsibilities

2. Hadoop Architecture and Cluster setup 

Hadoop server roles and their usage

Hadoop installation and initial configuration

Deploying Hadoop in a pseudo-distributed mode

Deploying a multi-node Hadoop cluster

Installing Hadoop Clients

Understanding working of HDFS and resolving simulated problems.

3. Hadoop cluster Administration & Understanding MapReduce
Understanding secondary name node

Working with Hadoop distributed cluster

Decommissioning or commissioning of nodes

Understanding MapReduce

Understanding schedulers and enabling them.

4. Backup, Recovery and Maintenance 
Common admin commands like Balancer

Trash, Import Check Point

Distcp, data backup and recovery

Enabling trash, namespace count quota or space quota, manual failover or metadata recovery.

5. Hadoop Cluster: Planning and Management
Planning the Hadoop cluster

Cluster sizing, hardware

Network and software considerations

Popular Hadoop distributions, workload and usage patterns.

6. Hadoop 2.0 and it’s features 
Limitations of Hadoop 1.x

Features of Hadoop 2.0

YARN framework, MRv2

Hadoop high availability and federation

Yarn ecosystem and Hadoop 2.0 Cluster setup.

7. Setting up Hadoop 2.X with High Availability and upgrading Hadoop
Configuring Hadoop 2 with high availability

Upgrading to Hadoop 2

Working with Sqoop

Understanding Oozie

Working with Hive

Working with Hbase.

8. Understanding Cloudera manager and cluster setup, Overview on Kerberos

Hive administration, HBase architecture

HBase setup, Hadoop/Hive/Hbase performance optimization

Cloudera manager and cluster setup

Pig setup and working with grunt

Why Kerberos and how it helps