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Hadoop Administration

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Course Summary

Home > Courses >Big Data Training >Hadoop >Hadoop Administration

The Hadoop Administration training course provides students with a comprehensive understanding of all the steps necessary to operate and maintain a Hadoop cluster. From installation and configuration through load balancing and tuning. Students will get experience with some of the most common and challenging scenarios Hadoop administrators see in the real world and become familiar with the most up-to-date details of the platform.

The course begins with an introduction to Hadoop including a brief history,, core components, and fundamental concepts. Next, the course dives into planning Hadoop clusters, Hadoop Distributed File System (HDFS), and MapReduce. The course also includes Hadoop installation and configuration, clients, security, and managing and scheduling jobs. The course concludes with advanced cluster configuration, cluster maintenance, monitoring and troubleshooting.

Purpose
Learn how to maintain and operate a Hadoop cluster.
Audience
Anyone that is in charge of installing and managing a Hadoop cluster. Basic Unix skills recommended.
Role
Software Developer - System Administrator - Technical Manager
Skill Level
Intermediate
Style
Workshops
Duration
4 Days
Related Technologies
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  • Productivity Objectives:
    • Discover the fundamentals of standing up a Hadoop cluster.
    • Identify how to configure Hadoop for high availability.
    • Relate solid fundamental configurations for maximizing Hadoop operations.
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about our training

  • keywordicon1
    Real-World Content

    Project-focused demos and labs using your tool stack and environment, not some canned "training room" lab.

  • keywordicon2
    Expert Practitioners

    Industry experts with 15+ years of industry experience that bring their battle scars into the classroom.

  • keywordicon3
    Experiential Learning

    More coding than lecture, coupled with architectural and design discussions.

  • keywordicon4
    Fully Customized

    One-size-fits-all doesn't apply to training teams. That's where we come in!

What You'll Learn

In the Hadoop Administration training course, you'll learn:

  • Hadoop Introduction
    • A Brief History of Hadoop
    • Core Hadoop Components
    • Fundamental Concepts
  • Planning Your Hadoop Cluster
    • General Planning Considerations
    • Choosing Hardware
    • Network Considerations
    • Configuring Nodes
    • Planning for Cluster Management
  • HDFS
    • HDFS Features
    • Writing and Reading Files
    • NameNode Considerations
    • HDFS Security
    • Namenode Web UI
    • Hadoop File Shell
  • Getting Data into HDFS
    • Pulling data from External Sources with Flume
    • Importing Data from Relational Databases with Sqoop
    • REST Interfaces
    • Best Practices
  • MapReduce
    • MapReduce overview
    • Features of MapReduce
    • Architectural Overview
    • YARN – MapReduce Version 2
    • Failure Recovery
    • The JobTracker Web UI
  • Hadoop Installation and Initial Configuration
    • Configuration & Deployment Types
    • Installing Hadoop
    • Specifying the Hadoop Configuration
    • Initial HDFS & MapReduce Configuration
    • Log Files
  • Installing/Configuring Hive, Impala, and Pig
    • Hive
    • Impala
    • Pig
  • Hadoop Clients
    • What is a Hadoop Client?
    • Installing and Configuring Hadoop Clients
    • Installing and Configuring Hue
    • Hue Authentication and Configuration
  • Advanced Cluster Configuration
    • Advanced Configuration Parameters
    • Configuring Hadoop Ports
    • Explicitly Including and Excluding Hosts
    • Configuring HDFS for Rack Awareness & HDFS High Availability
  • 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
  • Managing and Scheduling Jobs
    • Managing Running Jobs
    • Scheduling Hadoop Jobs
    • Configuring the FairScheduler
  • Cluster Maintenance
    • Checking HDFS Status
    • Copying Data Between Clusters
    • Adding/Removing Cluster Nodes
    • Rebalancing the Cluster
    • NameNode Metadata Backup
    • Cluster Upgrades
  • Cluster Monitoring and Troubleshooting
    • General System Monitoring
    • Managing Hadoop’s Log Files
    • Monitoring the Clusters
    • Common Troubleshooting Issues
Real-world content

Project-focused demos and labs using your tool stack and environment, not some canned "training room" lab.

Expert Practitioners

Industry experts that bring their battle scars into the classroom.

Experiential Learning

More coding than lecture, coupled with architectural and design discussions.

Fully Customized

One-size-fits-all doesn't apply to training teams. That's where we come in!

Elite Instructor Program

We recently launched our internal Elite Instructor Program. The community driven instructor program is designed to support instructors in transforming students’ lives by consistently showing a world-class level of engagement, ability, and teaching prowess. Reach out today to learn more about our instructors.

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“I appreciated the instructor’s technique of writing live code examples rather than using fixed slide decks to present the material.”

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