Hadoop Admin

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Hadoop admin Training videos

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Hadoop Admin Training Outline

INTRODUCTION

  •  Big Data
  •  Role of Hadoop in Big data
  •  Hadoop and its ecosystem
  •  Overview of other Big Data Systems
  •  Requirements in Hadoop
  •  Use Cases of Hadoop Installing the Hadoop Distributed File System (HDFS)
  •  Defining key design assumptions and architecture
  •  Configuring and setting up the file system
  •  Issuing commands from the console
  •  Reading and writing files Setting the stage for MapReduce
  •  Introducing the computing daemons
  •  Dissecting a MapReduce job Defining Hadoop Cluster Requirements
  •  Selecting appropriate hardware
  •  Designing a scalable cluster Building the cluster
  •  Installing Hadoop daemons
  •  Optimizing the network architecture Configuring a Cluster – Pseudo node and multi – node
  •  Setting basic configuration parameters
  •  Configuring block allocation, redundancy and replication Deploying MapReduce
  •  Installing and setting up the MapReduce environment
  •  Delivering redundant load balancing via Rack Awareness Configuring a Cluster
  •  Setting basic configuration parameters
  •  Configuring block allocation, redundancy and replication Deploying MapReduce
  •  Installing and setting up the MapReduce environment Managing Resources and Cluster Health Maintaining HDFS
  •  Starting and stopping Hadoop daemons
  •  Monitoring HDFS status
  •  Adding and removing data nodes Administering MapReduce
  •  Managing MapReduce jobs
  •  Tracking progress with monitoring tools
  •  Commissioning and decommissioning compute nodes Performing Hadoop status checks
  •  Importing and exporting relational information with Sqoop Planning for Backup, Recovery and Security
  •  Coping with inevitable hardware failures
  •  Securing your Hadoop cluster Extending Hadoop
  •  Enabling SQL-like querying with Hive
  •  Installing Pig to create MapReduce jobs
  •  Working with Zookeeper and Ooziew workflow