Tuesday, 29 November 2016

MapReduce Online Training

BIG DATA & ANALYTICS
MAPREDUCE ONLINE TRAINING @ VIVANTA IT LABS
MapReduce Online Training course designed to make you an expert in using MapReduce Online Training and learn all that is required to evaluate potential execution plans and Database takes a global view of execution across the computer cluster.
MapReduce is a PROGRAMMING MODEL and an associated implementation for processing and generating large data sets with a PARALLEL, DISTRIBUTED algorithm on a CLUSTER. Conceptually similar approaches have been very well known since 1995 with the MESSAGE PASSING INTERFACE  standard having reduce  and scatter operations.
A MapReduce program is composed of a MAP() procedure (method) that performs filtering and sorting (such as sorting students by first name into queues, one queue for each name) and a Reduce() method that performs a summary operation (such as counting the number of students in each queue, yielding name frequencies). The “MapReduce System” (also called “infrastructure” or “framework”) orchestrates the processing by marshalling the distributed servers, running the various tasks in parallel, managing all communications and data transfers between the various parts of the system, and providing for redundancy and fault tolerance.
MapReduce is a framework for processing PARALLELIZABLE problems across huge datasets using a large number of computers (nodes), collectively referred to as a CLUSTER (if all nodes are on the same local network and use similar hardware) or a GRID (if the nodes are shared across geographically and administratively distributed systems, and use more heterogenous hardware). Processing can occur on data stored either in a filesystem (unstructured) or in a database (structured). MapReduce can take advantage of locality of data, processing it on or near the storage assets in order to reduce the distance over which it must be transmitted.

MapReduce Training Curriculum:

Basic concept of OOPS

Object
Class
Attributes
Inheritance
Aspects of Java

Creation of Project, Class, Package

Java-Eclipse.
How to Create New java project
How to create New java Class
Hello World program
How to run this program
Types of integer
Class creation & name given
Create object
Creation of package

What is java Inheritance

Sub-class & super Class
Map-Reducing in Inheritance

What is overloading & overriding

What is method of overloading
overloading modify
Difference between overloading & overriding
Method of overriding

Abstration Concepts

Basic concept of abstract
Abstract class demo
Class extends
Difference between Abstract & concrete class
Implementation of abstract class in java
Difference between JRE & JBM

Mapreduce Programming

Word count example
Exception
Tool runner
Mapper
Map method
Sum reducer

What is Map Phase?

Introduction and characteristics of big data
Introduction of Hadoop and its work
What is HDFS and its explanation with example
Introduction to Map Reduce?
What is Map Phase?
What is Reduce Phase?

Hadoop ecosystem

Introduction to Hadoop ecosystem
How Hadoop solve problem of typical distributed system
What is Sqoop and its working
What is Qozie and its working
What is Pig and its working
What is Flume and its working
What is Hive and its working
HDFS Storage Mechanism
How files are Stored / Read / Written in HDFS
Understanding Demons

Hadoop installation

Hadoop installation
Introduction to Mapreduce and HDFS

How to develop Mapreduce Application

MapReduce job Execution
MapReduce Combiner
MapreducePartitioner
Shuffle & Sort Phase
Map Reduce in detail
Comparison b/w YARN and MRV1
Cloudera Developer Certification Overview

How to develop Mapreduce Application

Hands on Exercises on Map Reduce
Introduction to Mapper, Box classes and Reducer
Input Formats and Output Formats
How to filter File Inputs
How to work on amazon cluster

FEEL FREE TO CONTACT US

Your feedback is valuable to us. Please send us your suggestions.

USA OFFICE

INDIA OFFICE

Posted by at

No comments:

Post a Comment

Subscribe to: Post Comments (Atom)