We've noticed this is not your region.
Redirect me to my region
What do you want to learn today?

Hadoop Administration & Development Online Training

Inquire Now
On-Site / Training

Details

Learn Hadoop

Big Data or Hadoop Online Training is very suitable for professionals to learn the concepts of Hadoop, Apache Hadoop Software operations and managing complex data sets.

Hadoop is a Java based programmer which supports the processing of huge data in computing environment. It is a fragment of Apache venture that is supported by Apache software Foundation.

Hadoop Online Training makes the learners possibility to run application with thousands of nodes connecting thousands of terabytes on systems. It is a distributed file system enables quick data transfer duties among the nodes and allows the systems to remain operating continuous in the instance of a node interruption. This tactic reduces the risk of catastrophic system failure, even if many nodes don’t function.

Hamsini Technologies introduce the learners by Hadoop training with Hadoop working methodology. Where Hadoop is an inspiration of Google’s MapReduce, software framework where an application is fragmented into several small parts. These fragments run on any node of a cluster. The recent Apache Hadoop ecosystem consists of Hadoop distributed file system (HDFS),MapReduce, Hadoop kernel and a number of associated projects such as HBase, Zookeeper and Apache Hive.

Hadoop Framework is often used by big companies like Google, IBM and Yahoo largely by the applications those are involved in search engines and advertising organizations.

Outline

Hadoop Online Training Course Content:  

Introduction

  • Data Analytics
  • Introduction to RDBMS
  • What is Big Data?
  • Big Data Challenges
  • What are Technologies support for Big Data
  • Hadoop Introduction

Pre-requisites

  • Core java
  1. Java Virtual Machine
  2. OOP’s Principles
  3. Exceptions
  4. Multi Threads
  5. Map
  • Linux
  1. Basics
  2. Installations
  3. Commands
  • VM Ware
  1. Basics
  2. Installations
  3. Backups
  4. Snapshots
  • SQL
  1. Create Table
  2. Order
  3. Aggregate Functions
  4. Joins

Hadoop

  • What is Hadoop?
  • Hadoop Poweredby and Users
  • Scalability
  • Distributed Framework
  • Hadoop versus RDBMS
  • Brief history of hadoop

Hadoop Daemon Processes

  • Name node
  • Secondary name node
  • Job tracker
  • Task tracker
  • Data node

Hadoop Distributed File System

  • HDFS Design and Architecture
  • HDFS Concepts
  • HDFS High-Availability
  • Interacting HDFS using CLI and Browser
  • Blocks
  • Replication
  • Fault Tolerance
  • Priorities
  • Writing Data into HDFS
  • Reading Data from HDFS

Mapreduce

  • The Parts of a Hadoop MapReduce Job
  • How MapReduce Works
  • MapReduce Types and Formats
  • Input Formats
  • Text Input
  • Multiple Inputs
  • Database Input (and Output)
  • Output Formats
  • Explain Map and Reduce with Example

Hadoop Cluster Configuration

  • Pseudo Distributed 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

Advanced Mapreduce Concepts

  • Developing Map Reduce Application
  • Phases in Map Reduce Framework
  • Map Reduce Input and Output Formats
  • Advanced Concepts
  • Sample Applications
  • Combiner
  • Map-side join
  • Reduce-Side join
  • Custom Input format class
  • Hash Partitioner
  • Custom Partitioner
  • Sorting techniques
  • Custom Output format class

HIVE

  • Installing Hive
  • The Hive Shell
  • Running Hive
  • Configuring Hive
  • Hive Services
  • The Metastore
  • Comparison with Traditional Databases
  • Schema on Read Versus Schema on Write
  • Running a SQL-style query with Hive
  • Performing a join with Hive
  • Case Study & Example

PIG

  • Installing Pig
  • Running Pig
  • Set operations (join, union)
  • Sorting with Pig
  • Speaking Pig Latin
  • Working with user-defined functions
  • Working with scripts
  • Case Study & Example

Sqoop

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

Impala

  • Introduction to Impala
  • Impala Configuration
  • Comparison between Hive and Impala
  • Impala Commands
  • Example with Usecase

Oozie Workflow

  • Introduction to Oozies
  • Creating workflows
  • Creating job Schedules
  • Example with Usecase

Flume

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

Hue

  • Introduction to Hue
  • Advantages of Hue
  • Hue Web Interface
  • Ecosystems in Hue
  • Example with Usecase

HBase

  • Introduction
  • Configuration
  • Basic Hadoop/ZooKeeper/HBase configurations
  • HBase Versus RDBMS
  • Example with Usecase

Zoo Keeper

  • Introduction to Zoo Keeper
  • Cluster Maintenance
  • Processing watchmen Services
  • Example with Usecase

Real Life Usecases

  • Recommendation Engine
  • Prediction
  • Trend Analysis
  • Data mining
  • Best Practices

Reporting tool:

Tableau

  • Tableau Fundamentals.
  • Tableau Analytics.
  • Visual Analytics.
  • Hands-on exercise
Reviews
Be the first to write a review about this course.
Write a Review
We are proud to be one of the leading IT online training providers in the industry. We are into online training with much passion and dedication from many years. The expertise we acquired through this helped us to improve our skills in delivering our services. Our trainers with real time experience and skills in online training are dedicated towards producing quality learning. Our unique techniques of online training are recognized throughout the globe and are adopted by most. With Hamsini Technologies you can master any software tool and technology.

Our Training Highlights
  • Very interactive and career oriented sessions
  • Goal oriented, comprehensive training based on your specific learning needs
  • 24X7 Server Access to practice whenever and wherever
  • Recorded Sessions for your reference even after the course completion
  • 24X7 technical support team via Phone, Email
  • Unlimited access to Digital Library to master your course.
Sending Message
Please wait...
× × Speedycourse.com uses cookies to deliver our services. By continuing to use the site, you are agreeing to our use of cookies, Privacy Policy, and our Terms & Conditions.