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Course Content
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.
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 the working of HDFS and resolving simulated problems.
Hadoop Cluster Administration & Understanding MapReduce
- Understanding secondary namenode
- working with Hadoop distributed cluster
- Decommissioning or commissioning of nodes
- understanding MapReduce
- understanding schedulers and enabling them.
Backup, Recovery And Maintenance
- Key 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.
Hadoop 2.0 Cluster: Planning And Management
- Planning a Hadoop 2.0 cluster
- cluster sizing
- hardware
- network and software considerations
- popular Hadoop distributions
- workload and usage patterns
- industry recommendations.
Hadoop 2.0 And Its 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.
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.
Project: Cloudera Manager And Cluster Setup, Overview On Kerberos
- Cloudera manager and cluster setup
- Hive administration
- HBase architecture
- HBase setup
- Hadoop/Hive/Hbase performance optimization
- Pig setup and working with a grunt
- why Kerberos and how it helps.
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