2023 2024 EduVark > Education Discussion > General Discussion


  #1  
January 19th, 2016, 08:13 AM
Unregistered
Guest User
 
Hadoop Classes

Hey buddy I’m looking for the information about Big Data And Hadoop Certification program conducted by Simpli learn for that will you please help me?
Similar Threads
Thread
HCL Hadoop Openings
IIT Bombay Hadoop
Hadoop IIT Bombay
Best Online Hadoop Training
Online Hadoop Training
Online Hadoop course
Hadoop Course
Big Data Hadoop Jobs
Hadoop MBA
Hadoop Courses
Best Hadoop training
Hadoop Free Training
Training in Hadoop
Free Hadoop
Hadoop Training

  #2  
January 19th, 2016, 08:13 AM
Super Moderator
 
Join Date: Mar 2012
Re: Hadoop Classes

As per your demand I will help you here to gte the information about Big Data And Hadoop Certification program conducted by Simpli learn for there students.

Big Data and Hadoop Certification Training from Simplilearn is designed to ensure that you are job ready to take up an assignment in Big Data.

This training not just equips you with essential skills of Hadoop 2.7, but also gives you the required work experience in Big Data

Key features of the program
36 hours of Instructor led Training

24 hours of High Quality e-learning

60 hours of industry projects with 3.5 Bn. data points

Hands-on projects execution with CloudLab

Access to On Demand support

Get experience certificate in Hadoop 2.7

Here is the program structure
Lesson - Course Introduction

Course Introduction
Why Big Data
What is Big Data
What is Big Data (contd)
Facts about Big Data
Evolution of Big Data
Case Study—Netflix and the House of Cards
Market Trends
Course Objectives
Course Details
Project Submission and Certification
On Demand Support
Key Features

Lesson - Introduction to Big Data and Hadoop

Introduction to Big Data and Hadoop
Objectives
Data Explosion
Types of Data
Need for Big Data
Big Data and Its Sources
Characteristics of Big Data
Characteristics of Big Data Technology
Knowledge Check
Leveraging Multiple Data Sources
Traditional IT Analytics Approach
Traditional IT Analytics Approach (contd)
Big Data Technology—Platform for Discovery and Exploration
Big Data Technology—Platform for Discovery and Exploration (contd)
Big Data Technology—Capabilities
Big Data—Use Cases
Handling Limitations of Big Data
Introduction to Hadoop
History and Milestones of Hadoop
Organizations Using Hadoop
VMware Player—Introduction
VMware Player—Hardware Requirements
Oracle VirtualBox to Open a VM
Installing VM using Oracle VirtualBox Demo
Opening a VM using Oracle VirtualBox Demo

Lesson - Hadoop Architecture

Hadoop Architecture
Objectives
Key Terms
Hadoop Cluster Using Commodity Hardware
Hadoop Configuration
Hadoop Core Services
Apache Hadoop Core Components
Why HDFS
What is HDFS
HDFS—Real-life Connect
Regular File System vs HDFS
HDFS—Characteristics
HDFS—Key Features
HDFS Architecture
NameNode in HA mode
NameNode HA Architecture
HDFS Operation Principle
File System Namespace
NameNode Operation
Data Block Split
Benefits of Data Block Approach
HDFS—Block Replication Architecture
Replication Method
Data Replication Topology
Data Replication Representation
HDFS Access
Business Scenario
Create a new Directory in HDFS Demo
Spot the Error
Case Study
Case Study - Demo

Lesson - Hadoop Deployment

Hadoop Deployment
Objectives
Ubuntu Server—Introduction
Installation of Ubuntu Server
Business Scenario
Installing Ubuntu Server Demo
Hadoop Installation—Prerequisites
Hadoop Installation
Installing Hadoop Demo
Hadoop Multi-Node Installation—Prerequisites
Steps for Hadoop Multi-Node Installation
Single-Node Cluster vs Multi-Node Cluster
Creating a Clone of Hadoop VM Demo
Performing Clustering of the Hadoop Environment Demo
Spot the Error
Case Study
Case Study - Demo

Lesson - Introduction to MapReduce

Introduction to YARN and MapReduce
Objectives
Why YARN
What is YARN
YARN—Real Life Connect
YARN Infrastructure
YARN Infrastructure (contd)
ResourceManager
Other ResourceManager Components
ResourceManager in HA Mode
ApplicationMaster
NodeManager
Container
Applications Running on YARN
Application Startup in YARN
Application Startup in YARN (contd)
Role of AppMaster in Application Startup
Why MapReduce
What is MapReduce
MapReduce—Real-life Connect
MapReduce—Analogy
MapReduce—Analogy (contd)
MapReduce—Example
Map Execution
Map Execution—Distributed Two Node Environment
MapReduce Essentials
MapReduce Jobs
MapReduce and Associated Tasks
Hadoop Job Work Interaction
Characteristics of MapReduce
Real-time Uses of MapReduce
Prerequisites for Hadoop Installation in Ubuntu Desktop
Steps to Install Hadoop
Business Scenario
Set up Environment for MapReduce Development
Small Data and Big Data
Uploading Small Data and Big Data
Installing Ubuntu Desktop OS Demo
Build MapReduce Program
Build a MapReduce Program Demo
Hadoop MapReduce Requirements
Steps of Hadoop MapReduce
MapReduce—Responsibilities
MapReduce Java Programming in Eclipse
Create a New Project
Checking Hadoop Environment for MapReduce
Build a MapReduce Application using Eclipse and Run in Hadoop Cl Demo
MapReduce v
Spot the Error
Case Study
Case Study - Demo

Lesson - Advanced HDFS and MapReduce

Advanced HDFS and MapReduce
Objectives
Advanced HDFS–Introduction
HDFS Benchmarking
Setting Up HDFS Block Size
Decommissioning a DataNode
Business Scenario
HDFS Demo
Setting HDFS block size in Hadoop Demo
Advanced MapReduce
Interfaces
Data Types in Hadoop
Data Types in Hadoop (contd)
InputFormats in MapReduce
OutputFormats in MapReduce
Distributed Cache
Using Distributed Cache–Step
Using Distributed Cache–Step
Using Distributed Cache–Step
Joins in MapReduce
Reduce Side Join
Reduce Side Join (contd)
Replicated Join
Replicated Join (contd)
Composite Join
Composite Join (contd)
Cartesian Product
Cartesian Product (contd)
MapReduce program for Writable classes Demo
Spot the Error
Case Study
Case Study - Demo

Lesson - Pig

Pig
Objectives
Why Pig
What is Pig
Pig—Real-life Connect
Components of Pig
How Pig Works
Data Model
Nested Data Model
Pig Interactive Modes
Salient Features
Pig vs SQL
Pig vs SQL—Example
Additional Libraries for Pig
Installing Pig Engine
Steps to Installing Pig Engine
Business Scenario
Steps to Run a Sample Program to Test Pig
Getting Datasets for Pig Development
Prerequisites to Set the Environment for Pig Latin
Loading and Storing Methods
Script Interpretation
Various Relations
Various Pig Command
Spot the Error
Pig Execution Modes
Installing Pig in Ubuntu Server LTS Demo
Convert Unstructured Data into Equivalent Words Demo
Loading Files into Relations Demo
Finding the Number of Occurrences of a particular Word Demo
Performing Combining, Splitting, and Joining relations Demo
Performing Transforming and Shaping Relations Demo
Case Study
Case Study - Demo

Lesson - Hive

Hive
Objectives
Why Hive
What is Hive
Hive–Characteristics
Hive–Architecture and Components
Metastore
Driver
Hive Thrift Server
Client Components
Basics of Hive Query Language
Data Model—Tables
Data Model—External Tables
Data Types in Hive
Data Model—Partitions
Bucketing in Hive
Serialization and Deserialization
Hive File Formats
Hive Query Language
Running Hive
Programming in Hive
Hive Query Language—Extensibility
User-Defined Function
Built-In Functions
Other Functions in Hive
MapReduce Scripts
UDF/ UDAF vs MapReduce Scripts
New Features supported in Hive
Business Scenario
Installing Hive in Ubuntu Server LTS Demo
Advanced Data Analytics Demo
Determining Word Count Demo
Partitioning with Hive Demo
Spot the Error
Case Study
Case Study - Demo

Lesson - HBase

Hbase
Objectives
Why HBase
What is HBase
HBase—Real-life Connect
Characteristics of HBase
Companies Using HBase
HBase Architecture
HBase Components
Storage Model of HBase
Row Distribution of Data between RegionServers
Data Storage in HBase
Data Model
When to Use HBase
HBase vs RDBMS
Installation of HBase
Configuration of HBase
Business Scenario
Connecting to HBase
HBase Shell Commands
Spot the Error
Installing and configuring HBase Demo
Case Study
Case Study - Demo

Lesson - Commercial Distribution of Hadoop

Commercial Distribution of Hadoop
Objectives
Cloudera—Introduction
Cloudera CDH
Downloading the Cloudera VM
Starting the Cloudera VM
Logging into Hue
Cloudera Manager
Logging into Cloudera Manager
Business Scenario
Download,start and Work with Cloudera VM Demo
Eclipse with MapReduce in Cloudera's Quickstart VM Demo
Hortonworks Data Platform
MapR Data Platform
Pivotal HD
Pivotal HD (contd)
IBM InfoSphere BigInsights
IBM InfoSphere BigInsights (contd)

Lesson - ZooKeeper, Sqoop, and Flume

ZooKeeper, Sqoop, and Flume
Objectives
Why ZooKeeper
What is ZooKeeper
Features of ZooKeeper
Challenges Faced in Distributed Applications
Coordination
Goals and Uses of ZooKeeper
ZooKeeper Entities
ZooKeeper Data Model
Znode
Client API Functions
Recipe —Cluster Management
Recipe —Leader Election
Recipe —Distributed Exclusive Lock
Business Scenario
View ZooKeeper Nodes Using CLI Demo
Why Sqoop
What is Sqoop
Sqoop—Real-life Connect
Sqoop and Its Uses
Sqoop and Its Uses (contd)
Benefits of Sqoop
Sqoop Processing
Sqoop Execution—Process
Importing Data Using Sqoop
Sqoop Import—Process
Sqoop Import—Process (contd)
Importing Data to Hive and HBase
Exporting Data from Hadoop Using Sqoop
Sqoop Connectors
Sample Sqoop Commands
Business Scenario
Install Sqoop Demo
Import Data on Sqoop Using MySQL Database Demo
Export Data Using Sqoop from Hadoop Demo
Why Flume
Apache Flume—Introduction
Flume Model
Flume—Goals
Scalability in Flume
Flume—Sample Use Cases
Business Scenario
Configure and Run Flume Agents Demo
Spot the Error
Case Study—ZooKeeper
Case Study—ZooKeeper—Demo
Case Study—Sqoop
Case Study—Sqoop—Demo
Case Study—Flume
Case Study—Flume—Demo

Lesson - Ecosystem and Its Components

Ecosystem and Its Components
Objectives
Apache Hadoop Ecosystem
File System Component
Data Store Components
Serialization Components
Job Execution Components
Work Management, Operations, and Development Components
Security Components
Data Transfer Components
Data Interactions Components
Data Interactions Components (contd)
Analytics and Intelligence Components
Search Frameworks Components
Graph-Processing Framework Components
Apache Oozie
Apache Oozie Workflow
Apache Oozie Workflow (contd)
Introduction to Mahout
Schedule workflow with Apache Oozie Demo
Introduction to Mahout (contd)
Features of Mahout
Usage of Mahout
Usage of Mahout (contd)
Apache Cassandra
Characteristics of Apache Cassandra
Apache Spark
Apache Spark Tools
Key Concepts of Apache Spark
Apache Spark—Example
Building a program using Apache Spark Demo
Hadoop Integration
Spot the Error
Case Study
Case Study - Demo

Lesson - Hadoop Administration, Troubleshooting, and Security
Hadoop Administration, Troubleshooting, and Security
Objectives
Typical Hadoop Core Cluster
Load Balancer
Commands Used in Hadoop Programming
Different Configuration Files of Hadoop Cluster
Properties of hadoop-default.xml
Hadoop Cluster–Critical Parameters
Hadoop DFS Operation–Critical Parameters
Port Numbers for Individual Hadoop Services
Performance Monitoring
Performance Tuning
Parameters of Performance Tuning
Troubleshooting and Log Observation
Apache Ambari
Key Features of Apache Ambari
Business Scenario
Troubleshooting a Missing DataNode Issue Demo 01
Optimizing a Hadoop Cluster Demo 02
Hadoop Security—Kerberos
Kerberos—Authentication Mechanism
Kerberos Configuration—Steps
Data Confidentiality
Spot the Error
Usage of Trademarks
Case Study
Case Study -


Address:-
Simplilearn Americas LLC
10 Victor Square #250
Scotts Valley, California 95066
United States

Phone:-
+844-532-7688


Quick Reply
Your Username: Click here to log in

Message:
Options



All times are GMT +5. The time now is 02:24 PM.


Powered by vBulletin® Version 3.8.11
Copyright ©2000 - 2024, vBulletin Solutions Inc.
Content Relevant URLs by vBSEO 3.6.0

1 2 3 4 5 6 7 8