Hadoop Administration Training

In this Hadoop Administration training class, students learn all about working with Hadoop and HDFS.

Location

Public Classes: Delivered live online via WebEx and guaranteed to run . Join from anywhere!

Private Classes: Delivered at your offices , or any other location of your choice.

Course Topics
  1. Learn the fundamental concepts of Hadoop.
  2. Learn to plan your Hadoop cluster.
  3. Learn HDFS features.
  4. Learn how to get data into HDFS.
  5. Learn to work with MapReduce.
  6. Learn installation and configuration of Hadoop.
  7. Learn cluster maintenance.
Outline
  1. Hadoop Overview
    1. What is Big Data?
    2. How did we get to this point?
    3. How does Hadoop compare to a relational database system?
    4. Big Data Introduction
    5. History
    6. Comparison to Relational Databases
    7. Hadoop Ecosystem
  2. HDFS
    1. Architecture/Concepts
    2. Access
    3. Namenodes
    4. Filesystem Shell
    5. Accessing HDFS with Java
    6. Reading/Writing/Browsing file system
  3. HBASE
    1. Overview
    2. Architecture
    3. Data Model
    4. Installation and Shell
    5. Access via Java API
    6. Administration access via Java
    7. Scan API
    8. Filters
    9. Storage Model
    10. Table Design
  4. Map Reduce on YARN
    1. Introduction
    2. Processing Model
    3. Command line tools
    4. MapReduce framework
    5. Submitting MapReduce Jobs
    6. Writing MapReduce jobs in Java
    7. MapReduce Theory
    8. Distributive Cache
    9. Speculative Executin
    10. YARN Components
    11. Counters
    12. Details of MapReduce Job Execution
  5. Hadoop Streaming
    1. Implementing a streaming job
    2. Counters in streaming jobs
    3. Contrast with Java Jobs
  6. MapReduce Workflows
    1. Problem decomposition into MapReduce Jobs
    2. Coding workflows
    3. Using the JobControl Class
  7. Oozie
    1. Oozie Installation
    2. Writing Oozie workflows
    3. Deploying and running Oozie jobs
  8. Pig
    1. Installation
    2. Pig Latin
    3. Writing Pig Scripts
    4. User Defined functions
    5. Data set joins
  9. Hive
    1. Installation
    2. Table creation and deletion
    3. Partitioning
    4. Loading data into Hive
    5. Joins
    6. Bucketing
Class Materials

Each student in our Live Online and our Onsite classes receives a comprehensive set of materials, including course notes and all the class examples.

Class Prerequisites

Experience in the following is required for this Hadoop class:

  • Basic Java Knowledge.

Experience in the following would be useful for this Hadoop class:

  • Experience with Eclipse.

Training for Yourself

$2,500.00 or 4 vouchers

Upcoming Live Online Classes

Please select a class.

Training for your Team

Length: 4 Days
  • Private Class for your Team
  • Online or On-location
  • Customizable
  • Expert Instructors

What people say about our training

Webucator always delivers, the course work is spot on and informative.
Garry Green
Marine Corps Operational Test & Evaluation Activity
There is no better place online to get exceptional service and Java techniques, that apply to the real world, than here!
David Martin
Horry Telephone Cooperative, Inc.
Now that I have learned how to use the right tools, PowerPoint will save me time and simplify my work.
Renee Resch
Madison Scottsdale
I would definitely recommend this class. Hands down.
Dwayne Flores
Harte Hanks

No cancelation for low enrollment

Certified Microsoft Partner

Registered Education Provider (R.E.P.)

GSA schedule pricing

64,430

Students who have taken Instructor-led Training

11,984

Organizations who trust Webucator for their Instructor-led training needs

100%

Satisfaction guarantee and retake option

9.30

Students rated our trainers 9.30 out of 10 based on 30,402 reviews

Contact Us or call 1-877-932-8228