BIG DATA – HADOOP ADMIN

in jaipur

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Course Content

1. The Motivation & Limitation for
Hadoop
• Problems with Traditional Large-Scale
Systems
• Motivation & Limitation of Hadoop
• Available version Hadoop 1.x & 2.x
• Available Distributions of Hadoop
(Cloudera, Hortonworks)
• Hadoop Projects & Components
• The Hadoop Distributed File System
(HDFS)
2. Hadoop Ecosystem & Cluster
Hadoop Ecosystem projects &
Components overview
• HDFS – File System
• HBase – The Hadoop Database
• Cassandra – No SOL Database
• Hive – SQL Engine
• Mahout
Hadoop Architecture overview Cluster
Daemons & Its Functions
• Name Node
• Secondary Node
• Data Nodes
3. Planning Hadoop Cluster& Initial
Configuration
• General Planning Considerations
• Choosing the Right Hardware
• Network Considerations
• Planning for Cluster & Its
Management
• Types of Deployment
• Cloudera Manager
4. Installation & Deployment of Hadoop

• Installing Hadoop (Cloudera)
• Installation – Pig, Hive, HBase, Cassandra etc
• Specifying the Hadoop Configuration
• Performing Initial HDFS
• Configuration
• Performing Initial YARN and
• MapReduce Configuration
• Hadoop Logging&Cluster Monitoring
5. Load Data and Run Application
• Ingesting Data from External Sources
withFlume
• Ingesting Data from Relational
Databaseswith Sqoop
• REST Interfaces
• Best Practices for Importing Data
6. Manage, Maintain, Monitor, and
troubleshoot of cluster
• General System Monitoring
• Monitoring Hadoop Clusters
• Common Troubleshooting Hadoop
Clusters
• Common Misconfigurations
• Managing Running Jobs
• Scheduling Hadoop Jobs
7. Upgrade, Rolling and Backup
• Cluster Upgrading
• Checking HDFS Status
• Adding and Removing Cluster Nodes
• Name Node Meta Data Backup
• Data Backup
• Distributed Copy
• Parallel Data Ingestion
8. Conclusion & FAQs…

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