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HADOOP ONLINE TRAINING IN HYDERABAD , INDIA


Course name : HADOOP Online Training

24*7 technical support

Duration : 30 hours

faculty : Realtime experience

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What is Hadoop?

Apache Hadoop is an open-source software framework for storage and large scale processing of data-sets on clusters of commodity hardware. Hadoop is an Apache top-level project being built and used by a global community of contributors and users.

Hadoop careers?


Hadoop Areas of expertise

Hadoop Administration, development
NoSQL and real time analytics
Big Data/Hadoop solution Architecture, Design & Development
Social Media, Community & Viral Marketing
Business Development, Global Scale
Big Data strategy

About online training expert trainers

Online trainings expert prides itself on ensuring that our online trainers are real time experts.only the online training company deliver online training programs to our valued candidates.

As part of online trainings expert continuous improvement in online trainings. Each trainer is regularly assessed to candidates given the best quality of training every time.

All our trainers are skilled trainers and addition have the real time experience with proven track record in online trainings. This experience qualifies them as a specialist in their online training delivery in their course.

Why Hadoop Online Training Only with online trainings expert?

1. We just do not teach you technology. We Share Our Real time implementation expertise to gain practical skills and knowledge to face customers, implement better solutions further to enlighten your careers.
2. We just do not teach curriculum. We make sure to see that you are up to the industry expectations by giving real time scenarios, providing case studies, and giving project oriented examples. We will also provide well designed Lab Manuals, Study Materials, and Practice Exercises for quick learning process.
3. We just do not make developers or consultants or managers. We make full pledged competitive IT Professionals.

Trainer Specialties:

Expert on Hadoop Administration, Expert on Hadoop Devolopment.

Our online Training Highlights

Technical Support
Interview Questions
Sample Resumes

Hadoop Online Training Modules


1.Hadoop Admin Online Training

2.Hadoop Devoloper Online Training


Hadoop online Training Course Content

Introduction to Big Data and Analytics
Introduction to Hadoop
Hadoop ecosystem - Concepts
Hadoop Map-reduce concepts and features
Developing the map-reduce Applications
Pig concepts
Hive concepts
Sqoop concepts
Flume Concepts
Oozie workflow concepts
Impala Concepts
Hue Concepts
HBASE Concepts
ZooKeeper Concepts
Real Life Use Cases

Reporting Tool

Tableau

1. Virtualbox/VM Ware

Basics
Installations
Backups
Snapshots

2. Linux

Basics
Installations
Commands

3. Hadoop

Why Hadoop?
Scaling
Distributed Framework
Hadoop v/s RDBMS
Brief history of hadoop

4. Setup hadoop

Pseudo mode
Cluster mode
Ipv6
Ssh
Installation of java, hadoop
Configurations of hadoop
Hadoop Processes ( NN, SNN, JT, DN, TT)
Temporary directory
UI
Common errors when running hadoop cluster, solutions

5. HDFS- Hadoop distributed File System

HDFS Design and Architecture
HDFS Concepts
Interacting HDFS using command line
Interacting HDFS using Java APIs
Dataflow
Blocks
Replica

6. Hadoop Processes

Name node
Secondary name node
Job tracker
Task tracker
Data node

7. Map Reduce

Developing Map Reduce Application
Phases in Map Reduce Framework
Map Reduce Input and Output Formats
Advanced Concepts
Sample Applications
Combiner

8. Joining datasets in Mapreduce jobs

Map-side join
Reduce-Side join

9. Map reduce customization

Custom Input format class
Hash Partitioner
Custom Partitioner
Sorting techniques
Custom Output format class

10. Hadoop Programming Languages :-

I.HIVE

Introduction
Installation and Configuration
Interacting HDFS using HIVE
Map Reduce Programs through HIVE
HIVE Commands
Loading, Filtering, Grouping
Data types, Operators
Joins, Groups
Sample programs in HIVE

II. PIG

Basics
Installation and Configurations
Commands

OVERVIEW HADOOP DEVELOPER

11. Introduction

12. The Motivation for Hadoop

Problems with traditional large-scale systems
Requirements for a new approach

13. Hadoop: Basic Concepts

An Overview of Hadoop
The Hadoop Distributed File System
Hands-On Exercise
How MapReduce Works
Hands-On Exercise
Anatomy of a Hadoop Cluster
Other Hadoop Ecosystem Components

14. Writing a MapReduce Program

The MapReduce Flow
Examining a Sample MapReduce Program
Basic MapReduce API Concepts
The Driver Code
The Mapper
The Reducer
Hadoop's Streaming API
Using Eclipse for Rapid Development
Hands-on exercise
The New MapReduce API

15. Common MapReduce Algorithms

Sorting and Searching
Indexing
Machine Learning With Mahout
Term Frequency Inverse Document Frequency
Word Co-Occurrence
Hands-On Exercise.

16.PIG Concepts..

Data loading in PIG.
Data Extraction in PIG.
Data Transformation in PIG.
Hands on exercise on PIG.

17. Hive Concepts.

Hive Query Language.
Alter and Delete in Hive.
Partition in Hive.
Indexing.
Joins in Hive.Unions in hive.
Industry specific configuration of hive parameters.
Authentication & Authorization.
Statistics with Hive.
Archiving in Hive.
Hands-on exercise

18. Working with Sqoop

Introduction.
Import Data.
Export Data.
Sqoop Syntaxs.
Databases connection.
Hands-on exercise

19. Working with Flume

Introduction.
Configuration and Setup.
Flume Sink with example.
Channel.
Flume Source with example.
Complex flume architecture.

20. OOZIE Concepts
21. IMPALA Concepts
22. HUE Concepts
23. HBASE Concepts
24. ZooKeeper concepts

Reporting Tool

Tableau

Course Topics

Overview

What is visual analysis?
Strengths/weakness of the visual system.

Laying the Groundwork for Visual Analysis

Analytical Process
Preparing for analysis

Getting, Cleaning and Classifying Your Data

Cleaning, formatting and reshaping.
Using additional data to support your analysis.
Data classification

Visual Mapping Techniques

Visual Variables : Basic Units of Data Visualization
Working with Color
Marks in action: Common chart types

Solving Real-World Problems with Visual Analysis

Getting a Feel for the Data- Exploratory Analysis.
Making comparisons
Looking at (co-)Relationships.
Checking progress.
Spatial Relationships.
Try, try again.

Communicating Your Findings

Fine-tuning for more effective visualization
Storytelling and guided analytics
Dashboards

Student Enquiry

Our OTE Highlights

  1. Depth course Material with real time Knowledge .
  2. We are providing online classes with highly qualifyed professional trainers.
  3. We will provide online classes and online demo session at student flexible timings.
  4. In training case studies and real time scenarios covered.
  5. We will give 24*7 technical supports.
  6. We are providing normal track,weekend online trainings,fast track online classes.
  7. We will provide every recorded sessions.
  8. We will give full support while attending the interviews and contact me any time after completion of the course.

Address

Hyderabad,Andhra Pradesh
India - 500060 .

Phone : +91-9441233734
Email : onlinestrainingexpert@gmail.com

Skype ID : onlinetrainingsexpert

Demo Classes

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