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Introduction to MapReduce training for beginners in Istanbul | Map Reduce Training for Beginners | Advanced MapReduce Training

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Introduction to MapReduce training for beginners in Istanbul | Map Reduce Training for Beginners | Advanced MapReduce Training


In this course we will introduce you to distributed data processing, how to use MapReduce to process large amounts of data. This course is focused on providing practical hands-on exercises. Students will learn to write MapReduce programs. Advanced Features of MapReduce will be covered as well. 


Course Schedule


This is a weekdays course that will be held September 17 - October 10, 2019 US Pacific Time

The class sessions will be held - Tuesday, Thursday every week

6:30 - 8:30 PM US Pacific time, each day.

Please check your local date and time for first session.



Prerequisite

Desired but not required - Exposure to, Working proficiency of Java, sql.

 

Course Features


4 weeks, 8 sessions, 16 hours of total LIVE Instruction

Training material, instructor handouts and access to useful resources on the cloud provided

Practical Hands on Lab exercises on cloud workstations provided

Actual code and scripts provided

Real-life Scenarios



Course Outline


1. Introduction to MapReduce


MapReduce Overview

MapReduce in Hadoop

History of MapReduce

MapReduce applications

Data Flow in MapReduce

Map and Reduce operations

Job submission flow of MapReduce

Map Operation

Job Initialization

Task Assignment

Job Completion

Job Scheduling

Job Failures

Shuffle and sort

Word Count Problem, Flow and Solution

MapReduce Algorithms


2. Map Reduce Types and Formats


Data Types

File Formats

Input Formats

Output Formats

Explain the Driver, Mapper and Reducer code

Configuring development environment - Eclipse

Writing Unit Test

Running locally

Running on Cluster


3. Understanding MapReduce


Data Flow in MapReduce

MapReduce example

MapReduce Daemons

Job tracker

Task Tracker

Other phases in MapReduce

Data Flow in single, multiple and no reduce task


4. MapReduce with YARN


Hadoop Architecture

Problem with Hadoop 1.x, Hadoop 2.x features,

YARN MapReduce Application Execution Flow

YARN Workflow

Anatomy of MapReduce Program


5. Advanced MapReduce


Counters

Sorting

Input Splits in MapReduce

MapReduce Combiner

MapReduce Partitioner

MapReduce Distributed Cache

MRunit

Reduce Join

Joins - Map Side and Reduce Side

Custom Input Format

Sequence Input Format

Side Data Distribution



Refund Policy


There are no Refunds. All Sales is final.









Ticket Information Ticket Price
Early Bird Instructor Led Classroom or LIVE Online Training USD 550
General Admission Instructor Led Classroom or LIVE Online Training USD 650



Map Entirety Technology, Istanbul, Turkey
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