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BECOME AN EXPERT IN BIG-DATA AND HADOOP DEVELOPMENT
TO MANAGE LARGE AND COMPLEX DATA SETS TO SPEED-UP APPLICATION
  • Online/Offline training program
  • Start anywhere in the world
  • Recorded sessions of your classes
  • Hands-on real application development
  • Small batches to ensure personal attention
  • Prepare yourself for interview and get great jobs

COURSE PREVIEW

  1. Limitations of RDBMS

  2. Need for Big-Data

  3. 3 Vs of Big-Data - Volume, Velocity and Variety

  4. Introduction to Hadoop

  5. History of Hadoop Evolution

  6. Organizations using Hadoop

  7. Hadoop Job Trend in India

  1. Hadoop Core Components

  2. HDFS

  3. Regular File System Vs HDFS

  4. HDFS Architecture

  5. NameNode

  6. DataNode

  7. Secondary NameNode

  8. DataBlock Split

  9. Benefits of Data Block Approach

  10. HDFS-Block Replication Architecture

  11. Data Replication Technology

  12. HDFS Access

  1. Introduction to Virtual Box

  2. Creating and Configuring Linux UBuntu Server 14.04 machines in Virtual Box

  3. Network Configuration in Virtual Box to communicate machines

  4. Introduction to Linux Environment

  5. SSH

  6. SCP

  7. Passwordless SSH creation between two machines

  8. Java Setup on Linux

  1. Hadoop1.x installation

  2. Configure different Configuration files of Hadoop1.x

  3. Configure Hadoop Environment Variables

  4. Running Hadoop1.x on Linux and view HDFS Daemons NameNode,DataNode,SecondaryNamenode

  5. Start/Stop Hadoop Daemons together

  6. Start/Stop Hadoop Daemons Individually

  7. HDFS operations from command line

  8. Hdfs web interface to view hdfs components

  1. MapReduce introduction

  2. Introduction to JobTracker (Hadoop1.x)

  3. Introduction to Task Tracker (Hadoop1.x)

  4. Hadoop1.x Job Submission to job complete process architecture

  5. MapReduse Analogy (Sort-Shuffle)

  1. Developing a Word Count Application on eclipse

  2. Running WordCount application on Hadoop1.x

  3. Analyze Application through Command line

  4. Analyze Application through web interface

  1. Yarn (Hadoop2) Overview

  2. Understanding Resource Manager

  3. Understanding NodeManager

  4. Yarn Job Submission

  1. Installing Yarn on Linux machine

  2. Running Yarn Daemons

  3. Start/Stop Daemons individually

  4. Start/Stop Daemons together

  5. Yarn Command line utility for HDFS interaction

  6. Yarn web interface

  7. Running word count application on yarn

  1. Hadoop I/O

  2. Different I/O formats

  3. Input Split

  4. Writable Interface

  1. Sequence File

  2. Map File

  1. Understanding MapReduce Custom Partitioner

  2. Creating an application through Eclipse for Custom Partitioner and run on Yarn

  3. Understanding Combiner Function

  4. Creating an application through Eclipse for Combiner Function and run on Yarn

  1. Understanding Map Side Join

  2. Understanding Distributed Cache

  3. Creating a MapReduce application for Distributed Cache and run on Yarn

  4. Understanding Partial Sort

  5. Creating Application for Partial Sort and run on Yarn

  6. Understanding Total Order Sort

  7. Creating Application for Total Order Sort and run on Yarn

  1. Understanding Reduce Side Join

  2. Understanding Secondary Sort

  3. Creating application for Secondary Sort and run on yarn

  1. Hadoop2 (yarn) cluster setup

  2. Hadoop Administration

  3. Understanding Safe Mode

  1. Hive Overview

  2. Hive History

  3. Hive Installation

  4. Configure Hive Configuration Files

  5. Configure Environment Variables for Hive

  6. Creating tables and loading data into tables

  7. Understanding Hive Ware house file system through HDFS webinterface

  8. Running SQL queries in hive tables from hive shell

  9. Running SQL Queries from file on hive

  1. Understanding Hive external tables

  2. Creating external tables and tweaking

  3. Installing MySql on Linux system

  4. Configure Hive meta store with MySQL

  5. Understanding hive Joins

  6. Performing joins over hive tables

  1. Understanding Distribute By clause

  2. Hive Partitioning

  3. Strict Mode and Dynamic Partitioning

  4. Bucketing

  1. Understanding Hive Functions

  2. Understanding UDF (User Defined Functions)

  3. Creating User Defined Function through Eclipse

  4. Configure and run UDF from sql query

  1. Understanding Security in Hive

  2. Implementing Security

  1. User movie data study

  2. Develop app with User movie data using Yarn

  3. Develop app with User movie data using Hive

PRICING DETAILS

9,999
7,999

Discount Policy
Register in group of 4+
and get discount

Payment Plans
Pay the course fee
in two installments

Refund Policy
If you are unhappy
get a pro-rated refund

START LEARNING WITH FREE DEMO SESSION

CONTACT DOT NET TRICKS

B-64, Near SBI Bank, Sec-2 Noida (India)
Metro : Noida Sec-15 (Walking distance)
Phone: +91-9871749695, +91-9560344074
Email: [email protected]

FREQUENTLY ASKED QUESTIONS

All our mentors are highly qualified and experience professionals. All have more than 5 years of development experience.
We do our best to ensure this does not happen. However, you are unhappy, you can opt out within the first week and get a pro-rated refund.
You online classes are held at your home or office. Online classes are held with the help of WebEx meeting and you can take it from the comfort of your home or office.
To join our online training class, you need to have a laptop or pc, a headphone and an internet connection.
Yes we do. All relevant course material and exercises you will be get through our mentors.
Yes we do. You will get the recorded sessions of your own classes, so that you can revise your class when you want.
All classes are recorded. You will get the recorded sessions your classes when you will back. Also, you can join other class to do your missing classes.
Yes, we do. We will train you to crack technical as well as HR interview. We will conduct your one-to-one mockup interviews with our mentors.
Yes, we do provide you to do hands-on real application development.
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