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Introduction to Hadoop for Developers

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Course Summary

Home > Courses >Big Data Training >Hadoop >Introduction to Hadoop for Developers

The Introduction to Hadoop for Developers training course teaches the fundamentals of setting up a Hadoop cluster, as well as the “soup” of related technologies like Hive, Pig and Oozie.

The course begins by teaching students how to access the Hadoop file system and write MapReduce jobs using Java, Pig, and Hive Oozie. Next, students will work with their own installation of a Hadoop 2, single node cluster in hands-on workshops. The course will then discuss examples of real world Map Reduce jobs and how Hadoop has solved real world data-intensive processing problems. The course concludes by exploring the different modes in which Hadoop can be run to support massive amounts of data, as well as students' MapReduce jobs during development.

Best of all, students will walk away with a fully configured virtual machine that can run under VirtualBox or VMWare with Hadoop and all related technologies installed, configured, and ready to run. The virtual machine will include the necessary development environment (using Eclipse), so students are immediately productive in growing their Hadoop knowledge by using a live environment, without the hassle of having to set one up from scratch.

Prerequisites: Basic Java knowledge
(experience with Eclipse is a plus); we recommend courses in our core Java catalog.

Purpose
Learn how to write MapReduce programs using Java.
Audience
System adminstrators, developers, and DevOps engineers creating Big Data solutions using Hadoop.
Role
Software Developer - System Administrator
Skill Level
Intermediate
Style
Hack-a-thon - Learning Spikes - Workshops
Duration
4 Days
Related Technologies
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  • Productivity Objectives:
    • Discover the Hadoop Distributed File System (HDFS).
    • Interpret general Hadoop Cluster/HDFS administration.
    • Explain MapReduce.
    • Define how to write a MapReduce job with Java, Pig, and Hive.
    • Differentiate how the different Hadoop technologies inter-operate to provide a cohesive big data solution.
    • Demonstrate basic management of a Hadoop cluster.
    • Give examples of how to perform basic unit testing of MapReduce jobs.
    • Distinguish how Message Passing Interface (MPI) and High Performance Computing (HPC) intersect with Hadoop.
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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.

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    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 Introduction to Hadoop for Developers training course, you'll learn:

  • Hadoop Overview
    • Big Data Introduction
    • History
    • Comparison to Relational Databases
    • Hadoop Ecosystem
  • HDFS
    • Architecture/Concepts
    • Access
    • Namenodes
    • Filesystem Shell
    • Accessing HDFS with Java
    • Reading/Writing/Browsing File System
    • Basic HDFS Admin
  • HBASE
    • Overview
    • Architecture
    • Data Model
    • Installation and Shell
    • Access via Java API
    • Scan API
    • Filters
    • Storage Model
    • Table Design
  • Map Reduce on YARN
    • Introduction
    • Processing Model
    • Command line tools
    • MapReduce Framework
    • Submitting MapReduce Jobs
    • Writing MapReduce Jobs in Java
    • MapReduce Theory
    • Distributive Cache
    • Speculative Execution
    • YARN Components
    • Counters
    • Details of MapReduce Job Execution
  • Hadoop Streaming
    • Implementing a Streaming Job
    • Counters in Streaming Jobs
    • Contrast with Java Jobs
  • MapReduce Workflows
    • Problem Decomposition into MapReduce Jobs
    • Coding Workflows
    • Using the JobControl Class
  • Oozie
    • Installation
    • Writing Oozie Workflows
    • Deploying and Running Oozie Jobs
  • Pig
    • Installation
    • Pig Latin
    • Writing Pig Scripts
    • User Defined functions
    • Data Set Joins
  • Hive
    • Installation
    • Table Creation and Deletion
    • Partitioning
    • Loading Data into Hive
    • Joins
    • Bucketing
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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