Big Data Training Online Free

Hello sir please let me know is Simplilearn also conduct Big Data Training program for there students if yes will you please get the information?

[Shaleen]

Yes buddy simplilearn also conduct Big Data Training for that I will get the information so that you can have idea about it.

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

Program objectives

Master the concepts of Hadoop 2.7 framework and its deployment in a cluster environment

Learn to write complex MapReduce programs

Perform Data Analytics using Pig & Hive

Acquire in-depth understanding of Hadoop Ecosystem including Flume, Apache Oozie workflow scheduler, etc.

Master advance concepts of Hadoop 2.7 : Hbase, Zookeeper, and Sqoop

Get hands-on experience in setting up different configurations of Hadoop cluster

Work on real-life industry based projects using Hadoop 2.7

Here is the program structure

Big Data and Hadoop Developer
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
Netflix and the House of Cards
Market Trends

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 TechnologyPlatform for Discovery and Exploration
Big Data TechnologyPlatform for Discovery and Exploration (contd)
Big Data TechnologyCapabilities
Big DataUse Cases
Handling Limitations of Big Data
Introduction to Hadoop
History and Milestones of Hadoop
Organizations Using Hadoop
VMware PlayerIntroduction
VMware PlayerHardware 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
HDFSReal-life Connect
Regular File System vs HDFS
HDFSCharacteristics
HDFSKey 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
HDFSBlock Replication Architecture
Replication Method
Data Replication Topology
Data Replication Representation
HDFS Access
Business Scenario
Create a new Directory in HDFS Demo
Spot the Error

Lesson - Hadoop Deployment
Hadoop Deployment
Objectives
Ubuntu ServerIntroduction
Installation of Ubuntu Server
Business Scenario
Installing Ubuntu Server Demo
Hadoop InstallationPrerequisites
Hadoop Installation
Installing Hadoop Demo
Hadoop Multi-Node InstallationPrerequisites
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

Lesson - Introduction to MapReduce
Introduction to YARN and MapReduce
Objectives
Why YARN
What is YARN
YARNReal 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
MapReduceReal-life Connect
MapReduceAnalogy
MapReduceAnalogy (contd)
MapReduceExample
Map Execution
Map ExecutionDistributed 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
MapReduceResponsibilities
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

Lesson - Advanced HDFS and MapReduce
Advanced HDFS and MapReduce
Objectives
Advanced HDFSIntroduction
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 CacheStep
Using Distributed CacheStep
Using Distributed CacheStep
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

Lesson - Pig
Pig
Objectives
Why Pig
What is Pig
PigReal-life Connect
Components of Pig
How Pig Works
Data Model
Nested Data Model
Pig Execution Modes
Pig Interactive Modes
Salient Features
Pig vs SQL
Pig vs SQLExample
Additional Libraries for Pig
Installing Pig Engine
Steps to Installing Pig Engine
Business Scenario
Installing Pig in Ubuntu Server LTS Demo
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
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
Spot the Error

Lesson - Hive
Hive
Objectives
Why Hive
What is Hive
HiveCharacteristics
HiveArchitecture and Components
Metastore
Driver
Hive Thrift Server
Client Components
Basics of Hive Query Language
Data ModelTables
Data ModelExternal Tables
Data Types in Hive
Data ModelPartitions
Bucketing in Hive
Serialization and Deserialization
Hive File Formats
Hive Query Language
Running Hive
Programming in Hive
Hive Query LanguageExtensibility
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

Lesson - HBase
Hbase
Objectives
Why HBase
What is HBase
HBaseReal-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
Installing and configuring HBase Demo
Connecting to HBase
HBase Shell Commands
Spot the Error

Lesson - Commercial Distribution of Hadoop
Commercial Distribution of Hadoop
Objectives
ClouderaIntroduction
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
SqoopReal-life Connect
Sqoop and Its Uses
Sqoop and Its Uses (contd)
Benefits of Sqoop
Sqoop Processing
Sqoop ExecutionProcess
Importing Data Using Sqoop
Sqoop ImportProcess
Sqoop ImportProcess (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 FlumeIntroduction
Flume Model
FlumeGoals
Scalability in Flume
FlumeSample Use Cases
Business Scenario
Configure and Run Flume Agents Demo
Spot the Error

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 SparkExample
Building a program using Apache Spark Demo
Hadoop Integration
Spot the Error

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-defaultxml
Hadoop ClusterCritical Parameters
Hadoop DFS OperationCritical 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
Optimizing a Hadoop Cluster Demo
Hadoop SecurityKerberos
KerberosAuthentication Mechanism
Kerberos ConfigurationSteps
Data Confidentiality
Spot the Error

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

Phone:-
1-800-102-9602