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
Hadoop Distributed File System (HDFS)
- HDFS overview and design
- HDFS architecture
- HDFS file storage
- Component failures and recoveries
- Block placement
- Balancing the Hadoop cluster
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
- Different Hadoop deployment types
- Hadoop distribution options
- Hadoop competitors
- Hadoop installation procedure
- Distributed cluster architecture
- Lab: Hadoop Installation
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
- 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
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
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
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
- How to schedule Hadoop Jobs on the same cluster
- Default Hadoop FIFO Schedule
- Fair Scheduler and its configuration
Hadoop Multi Node Cluster Setup and Running Map Reduce Jobs on Amazon Ec2
- Hadoop Multi Node Cluster Setup using Amazon ec2 – Creating 4 node cluster setup
- Running Map Reduce Jobs on Cluster
High Availability Fedration, Yarn and Security
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ITRONIX SOLUTIONS Course duration for Bigdata Hadoop administration Industrial Training in Jalandhar
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