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Big Data and Hadoop Online Training
Rated 5/5 based on 179 customer reviews

Big Data And Hadoop Online Training

  • 179 Reviews
  • 6891 students enrolled
  • 6 audio-visual modules that cover all fundamentals of Hadoop 2.0
  • Mobile user friendly content
  • High quality e-learning content developed by industry experts
  • Free downloadable courseware
  • Simulations for easy understanding
  • 100% money back guarantee if dissatisfied within 1 hour of learning access

Description

Companies around the world today find it increasingly difficult to organize and manage large volumes of data. Hadoop has emerged as the most efficient data platform for companies working with big data, and is an integral part of storing, handling and retrieving enormous amounts of data in a variety of applications. Hadoop helps to run deep analytics which cannot be effectively handled by a database engine.

Big enterprises around the world have found Hadoop to be a game changer in their Big Data management, and as more companies embrace this powerful technology the demand for Hadoop Developers is also growing. By learning how to harness the power of Hadoop 2.0 to manipulate, analyse and perform computations on Big Data, you will be paving the way for an enriching and financially rewarding career as an expert Hadoop developer.

Our three day course in Hadoop 2.0 Developer training will teach you the technical aspects of Apache Hadoop, and you will obtain a deeper understanding of the power of Hadoop. Our experienced trainers will handhold you through the development of applications and analyses of Big Data, and you will be able to comprehend the key concepts required to create robust big data processing applications. Successful candidates will earn the credential of Hadoop Professional, and will be capable of handling and analysing Terabyte scale of data successfully using MapReduce.

curriculum

Section 1 : Course Overview

About BIG DATA HADOOP (2.0) DEVELOPMENT Course
Hadoop and Hadoop Ecosystem Course Objectives
What is Big Data?
Characteristics of Big Data
Next Logical Questions

Section 2 : Hadoop and Hadoop Ecosystem

What is Hadoop?
How Hadoop works?
How HDFS works
Example Program: Word Count
Shuffle and Start
Hadoop Job Process
Problems with Typical Distributed Systems
How Failures are handled
SQOOP
How Sqoop works
What is Oozie
How Oozie works
Oozie Example
What is Pig
Pig Example
What is Flume
How Flume works
How Flume works - Continued
What is Hive
Hive Example
HDFS Storage Mechanism
HDFS: Important Points
HDFS Closer Look: How files are stored
How files are written to HDFS(Part-1)
How files are written to HDFS(Part-2)
Few Examples
What is Mapper
How MapReduce works
A Note on Daemons

Section 3 : Pig and Hive

Introduction to Pig and Hive
The Hive Data Model
Hive Basics
Pig Basics

Section 4 : Advanced Map Reduce

Advanced Map Reduce Overview
Testing with MR Unit
JUnit Basics - Continued
MRUnit: Example Code
MR Unit Drivers - Continued
The Configure Method
Passing Parameters
Accessing HDFS Programmatically
Using the Distributed Cache

Section 5 : Cluster Planning

Cluster Planning Overview
Planning your Hadoop Cluster
Network Considerations
Important Configurations
Hadoop Configs
Quick Summary of Configs
Hands On Resource Download link

Section 6 : Hands On using Hadoop 2.0

Getting Started
Installing Hadoop in a pseudo distributed mode
Accessing HDFS from command line
Running the Word Count Map Reduce Job
Mini Project: Importing MySQL Data using Sqoop and Querying it using Hive
Setting up FLUME
Setting up Multi-node Cluster

What you get

Perform real-world data analysis using advanced Hadoop API topics.

Implement industry best practices for Hadoop development, debugging techniques and implementation of workflows and common algorithms.

Retrieve information in concise and cost effective manner.

Navigate, set up and run Hadoop command and queries.

Retrieve a gold mine of information from unstructured data.

Process large data sets with the Hadoop ecosystem.

Describe the path to ROI with Hadoop.

Explain the Hadoop frameworks like ApachePigā„¢, ApacheHiveā„¢, Sqoop, Flume, Oozie and other projects from the Apache Hadoop Ecosystem.

Boost their career in the field of high-value analytics.

Certification

Eligibility: There are no prerequisites to take this course but prior basic knowledge of Java and Linux will help.

USD 170

Access Days

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