Administrator Training for Cloudera Hadoop

Who Should Attend?

SYSTEM ADMINISTRATOR & IT MANAGERS with basic Linux experience

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Duration: 4 Days
Training Date
  • 1 – 4 June 2020 (KL)
  • 21 – 24 September 2020 (KL)

This course will be conducted through instructor led discussion and interactive, hands on exercises.

Throughout the course, participants will navigate the Hadoop ecosystem and learn topics such as:

  • Cloudera Manager features that make managing your clusters easier, such as aggregated logging, configuration management, resource management, reports, alerts, and service management
  • The internals of YARN, MapReduce, Spark, and HDFS
  • Determining the correct hardware and infrastructure for your cluster
  • Proper cluster configuration and deployment to integrate with the data center
  • How to load data into the cluster from dynamically generated files using Flume and from RDBMS
    using Sqoop
  • Configuring the Fair Scheduler to provide service level agreements for multiple users of a cluster
  • Best practices for preparing and maintaining Cloudera Hadoop in production
  • Troubleshooting, diagnosing, tuning, and solving Hadoop issues
  1. The Case for Cloudera Hadoop
    • Why Hadoop?
    • Fundamental Concepts
    • Core Hadoop Components
  2. Hadoop Cluster Installation
    • Rationale for a Cluster Management Solution
    • Cloudera Manager Features
    • Cloudera Manager Installation
    • Hadoop (CDH) Installation
  3. The Hadoop Distributed File System (HDFS)
    • HDFS Features
    • Writing and Reading Files
    • Name Node Memory Considerations
    • Overview of HDFS Security
    • Web UIs for HDFS
    • Using the Hadoop File Shell
  4. MapReduce and Spark on YARN
    • The Role of Computational Frameworks
    • YARN: The Cluster Resource Manager
    • MapReduce Concepts
    • Apache Spark Concepts
    • Running Computational Frameworks on YARN
    • Exploring YARN Applications through the Web UIs, and the Shell
    • YARN Application Logs
  5. Hadoop Configuration and Daemon Logs
    • Cloudera Manager Constructs for Managing Configurations
    • Locating Configurations and Applying Configuration Changes
    • Managing Role Instances and Adding Services
    • Configuring the HDFS Service
    • Configuring Hadoop Daemon Logs
    • Configuring the YARN Service
  6. Getting Data Into HDFS
    • Flume: Ingesting Data from External Sources
    • Sqoop: Ingesting Data from Relational Databases
    • REST Interfaces
    • Best Practices for Importing Data
  7. Planning Your Hadoop Cluster
    • General Planning Considerations
    • Choosing the Right Hardware
    • Virtualization Options
    • Network Considerations
    • Configuring Nodes
  8. Hive, Impala, and Pig
    • Installation and configuration
  9. Hadoop Clients Including Hue
    • What Are Hadoop Clients?
    • Installing and Configuring Hadoop Clients
    • Installing and Configuring Hue
    • Hue Authentication and Authorization
  10. Advanced Cluster Configuration
    • Advanced Configuration Parameters
    • Configuring Hadoop Ports
    • Configuring HDFS for Rack Awareness
    • Configuring HDFS High Availability
  11. Hadoop Security
    • Why Hadoop Security Is Important
    • Hadoop’s Security System Concepts
    • What Kerberos Is and how it
      Works
    • Securing a Hadoop Cluster with
      Kerberos
    • Other Security Concepts
  12. Managing Resources
    • Configuring groups with Static
      Service Pools
    • The Fair Scheduler
    • Configuring Dynamic Resource Pools
    • YARN Memory and CPU Settings
    • Impala Query Scheduling
  13. Cluster Maintenance
    • Checking HDFS Status
    • Copying Data Between Clusters
    • Adding and Removing Cluster
      Nodes
    • Rebalancing the Cluster
    • Directory Snapshots
    • Cluster Upgrading
  14. Cluster Monitoring and Troubleshooting
    • Cloudera Manager Monitoring
      Features
    • Monitoring Hadoop Clusters
    • Troubleshooting Hadoop Clusters
    • Common Misconfigurations

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Drop us your entry if you are interested to join this course.