HPE Ezmeral Data Fabric Cluster Administration

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In this course, students gain the knowledge and skills to plan, install, maintain, and manage a secure HPE Ezmeral Data Fabric File and Object Store cluster. Using lecture and labs, you learn how to design and install a cluster, and perform preand post-installation testing. You configure users, groups, and work with key features of an HPE Ezmeral Data Fabric cluster, including volumes, snapshots, and mirrors—learn how to use remote mirrors for disaster recovery.
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학습 목표
By the end of the course, the participant should be able to: • Demonstrate basic cluster administration skills • Audit and prepare cluster hardware prior to installation • Run pre-installation tests to verify performance • Plan a service layout according to cluster configuration and business needs • Describe the primary architectural components of an HPE Data Fabric installation (nodes, storage pools, volumes, containers, chunks, blocks) • Use the UI installer or the manual method to install the HPE Ezmeral Data Fabric File and Object Store cluster • Define and implement an appropriate node topology • Define and implement an appropriate volume topology • Set permissions and quotas for users and groups • Set up email and alerts • Locate and review configuration files used by the cluster • Start and stop services • Use Hadoop commands to perform basic functions • Use “maprcli” commands to perform basic functions • Use the MCS • Assist with data ingestion • Configure, monitor, and respond to alerts • Detect and replace failed disks • Detect and replace failed nodes • Create and delete snapshots using both maprcli and the MCS • Create and delete mirrors using both maprcli and the MCS • Use mirrors and snapshots for data protection • Add, remove, and upgrade ecosystem components • Monitor and tune job performance • Set up NFS access to the cluster
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수강대상
• System administrators who will be installing, configuring, and maintaining an HPE Ezmeral Data Fabric File and Object Store cluster environment.
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교육 일정
  • 시작일 : 2025년 9월 29일 ~ 종료일 : 2025년 10월 1일
  • 시작 시간 : 9시 30분 ~ 종료 시간 : 17시 30분

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커리큘럼
  • HPE Ezmeral Data Fabric Cluster Administration

    Module 1 - Introduction to HPE Ezmeral Data Fabric File and Object Store

    • Why data fabric?

    • Key features

    • Architecture basics

    Module 2 - Prepare for Installation

    • Security modes

    • Configuring data fabric security and managing impersonations

    • Plan the cluster and service layout

    • Prepare and verify cluster hardware

    • Test nodes

    Module 3 - Install a Data Fabric Cluster

    • Installer options

    • Perform a manual installation

    • License the cluster

    Module 4 - Verify and Test Cluster

    • Verify cluster status

    • Run post install benchmark tests

    • Explore the cluster structure

    Module 5 - Work with Volumes

    • Data fabric architecture

    • Object store architecture and operations

    • Node/volume topology

    • Attributes for standard volumes

    • Design a volume plan

    • Name container sizing

    • Data tiering

    Module 6 - Work with Snapshots

    • Describe how snapshots work

    • Use and maintain snapshots

    Module 7 - Work with Mirrors

    • How mirrors work

    • Mirroring types

    • Using mirrors for disaster recovery

    Module 8 - Configure Users and Cluster Parameters

    • Manage users and groups

    • Use access control expressions

    • Accountable entities and quotas

    • Configuring policy-based security

    • Configuring object store access policies

    Module 9 - Configure Cluster Access

    • Access cluster data

    • Configure virtual IP addresses

    • Set up client access

    Module 10 - Monitor and Manage the Cluster

    • Monitor using the control system and CLI

    • Using HPE Ezmeral Data Fabric Monitoring (Spyglass Initiative)

    • Configure and respond to alarms

    Module 11 - Disk and Node Maintenance

    • Managing disks

    • Managing nodes

    • Configuring balancer settings

    Module 12 - Troubleshoot Cluster Problems

    • Basic troubleshooting

    • Tools and utilities

    [선수지식]

    • Basic Hadoop knowledge and intermediate Linux knowledge

    • Experience using a Linux text editor such as vi

    • Familiarity with the Linux command line options such as mv, cp, ssh, grep, and useradd

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2025년 09월

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