Hadoop Admin Online Training

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Hadoop Admin Online Training

• Glory IT
  Technologies

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Prerequisites

• Knowledge of Hadoop and Distributed Computing.

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Module 1 Introduction to Hadoop

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

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Module 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

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Module 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

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Module 4 Hadoop Deployment

• Different Hadoop deployment types
• Hadoop distribution options
• Hadoop competitors
• Hadoop installation procedure
• Distributed cluster architecture

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Module 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

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Module 6 -Mapreduce 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

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Module 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

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Module 8 Hadoop Administration and Maintenance

• Namenode/Data node 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

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Module 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

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Module 10 Job Scheduling

• How to schedule Hadoop Jobs on the same cluster
• Default Hadoop FIFO Schedule
• Fair Scheduler and its configuration

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Module 11 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

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Contact us free Demo

• We stay with you until you get the results you
  want.
• If you really interested, please let me know .
• We will arrange the Demo Session.
• Feel Free to call us any time
• Thanks RegardsSrinivasGloryITTechnologiesEmai
  lInfo_at_gloryittechnologies.comPhone91-903281345
  6/91-9160177789Skype ID gloryittechnologies

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• THANK YOU