ADM 2000 - Cluster Administration

May 3 - 5
London, UK
£1695 (+ VAT) Register

About this course

This introductory course teaches administrators the essential skills required to install, configure, monitor and maintain a MapR Hadoop cluster. You will learn how to test hardware for performance consistency, install the MapR Converged Data Platform, create baseline benchmarks, configure a cluster, and perform basic maintenance. The course includes extensive hands-on labs with real-world system administrator scenarios, using multi-node clusters.


Review the following prerequisites carefully and decide if you are ready to succeed in this course. The instructor will move forward with lab exercises, assuming that you have mastered the skills listed below.

  • Required:
    • Completion of ESS 1000 - Big Data Essentials, or equivalent knowledge
    • Basic to intermediate Linux knowledge, including:
      • The ability to use a text editor, such as vi
      • Familiarity with basic command-line options such as mkdir, chmod, and useradd
    • Access to, and the ability to use, a laptop with a browser and terminal program installed (such as terminal on the Mac, or PuTTY on Windows)

What's Included

  • Access to a multi-node cluster (one per student)
  • Slide guide/transcript
  • Lab guide
  • Converged Enterprise Edition trial license

Right for you?

  • For system administrators who are, or will be, in charge of installing, configuring, and maintaining a Hadoop cluster.

What’s next?


This course prepares you for the MapR Certified Cluster Administrator (MCCA) certification exam.


Day 1
  • Get Started
    • Understand the lab environment
    • Connect to your cluster
    • LAB: Log into your nodes
  • Lesson 1: Prepare for Installation
    • Identify node types
    • Prepare and verify cluster hardware
    • LAB: Audit the cluster
    • Test nodes
    • LAB: Run pre-install tests
    • Plan the service layout
    • LAB: Plan a service layout
  • Lesson 2: Install the MapR Converged Data Platform
    • Install the MapR Converged Data Platform
    • LAB: Install a MapR Cluster
    • Add a MapR license
    • LAB: Install a license and explore the MCS
  • Lesson 3: Verify and Test the Cluster
    • Verify cluster status
    • Run post-install benchmark tests
    • LAB: Run synthetic benchmarks
    • Explore the cluster structure
    • LAB: Explore the cluster
  • Lesson 4: Users, Groups, and System Settings
    • Manage users and groups
    • LAB: Configure users and groups
    • Configure system settings
Day 2
  • Lesson 5: Configure Topology
    • Define topology
    • Configure node topology
    • LAB: Configure node topology
  • Lesson 6: Configure MapR Volumes
    • Volumes and volume properties
    • Configure volumes
    • LAB: Create volumes and set quotas
  • Lesson 7: Job Logs and Scheduling
    • Configure logging options
    • LAB: Configure YARN log aggregation
    • Configure the Fair Scheduler
  • Lesson 8: Access Cluster Data
    • Access data
    • LAB: Modify cluster files
    • Set up client access
    • LAB: Configure client NFS access
    • Configure Virtual IP Addresses
    • LAB: Configure VIPs
    • Control Access to the Cluster
    • LAB: Use Access Control Expressions
Day 3
  • Lesson 9: Snapshots
    • Understand snapshots
    • Configure and use local mirrors
    • LAB: Configure snapshots
  • Lesson 10: Mirrors
    • Understand how mirrors work
    • Configure and use local mirrors
    • LAB: Configure local mirrors
    • Use cascading and remote mirrors
  • Lesson 11: Monitor and Manage the Cluster
    • Monitor the cluster
    • Configure and respond to alarms
    • LAB: Configure alerts
    • Balance cluster resources
    • Manage logs and snapshots
    • LAB: Manage logs and snapshots
    • Add and remove services
    • LAB: Add and remove services
  • Lesson 12: Disk and Node Maintenance
    • Replace a failed disk
    • LAB: Replace a disk
    • Add and remove disks
    • Perform node maintenance
    • Add nodes
    • LAB: Add a node to a cluster
  • Lesson 13: Troubleshooting
    • Troubleshoot different problem types
    • LAB: Troubleshooting
    • Use support utilities
    • LAB: Collect logs for support