Big Data and Hadoop Developer Online Certification Training
- Offered bySimplilearn
- Private Institute
- Estd. 2010
Big Data and Hadoop Developer Online Certification Training at Simplilearn Overview
Total fee | ₹12,649 |
Mode of learning | Online |
Difficulty level | Advanced |
Credential | Certificate |
Big Data and Hadoop Developer Online Certification Training at Simplilearn Highlights
- Earn Hadoop 2.7 experience certificate
- Expert Assistant Premium Support
Big Data and Hadoop Developer Online Certification Training at Simplilearn Course details
- Java developers, Architects, Big Data professionals, or anyone who is looking towards building a career in Big Data and Hadoop are ideal participants for the Big Data and Hadoop training. Additionally, it is suitable for participants who are-Data Manageme
- Data Management professionals
- Data warehousing professionals
- Business intelligence professionals
- Graduates
- 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
- This course on Big Data and Hadoop Development is very useful to acquire knowledge and sharpen skills for Hadoop development. Comprising of introduction to the Big Data Eco System, its requirement in todays environment and its applications, it also focuses on Hadoop Architecture, MapReduce frameworks, initiating with installations along with discovering technologies such as Pig, Hive, HBase, ZooKeeper, Oozie, and Flume. For verifying the knowledge gain, the course consists of multiple assignments, quizzes and a project at the end. Professionals successfully concluding the project accomplishes the certifications
Big Data and Hadoop Developer Online Certification Training at Simplilearn Curriculum
Getting started with Big-Data and Hadoop Developer
Getting started with Big-Data and Hadoop Developer
Course Introduction
Welcome
Course Introduction
Course Objectives
Course Overview
Course Overview(contd)
Value to Professionals
Lessons Covered
Thank You
Introduction to Big Data and Hadoop
Introduction to Big Data and Hadoop
Objectives
Data Explosion
Types of Data
Need for Big Data
Data - The Most Valuable Resource
Big Data and Its Sources
Three Characteristics of Big Data
Characteristics of Big Data Technology
Appeal of Big Data Technology
Leveraging Multiple Sources of Data
Traditional IT Analytics Approach
Big Data Technology - Platform for Discovery and Exploration
Big Data Technology - Capabilities
Big Data - Use Cases
Handling Limitations of Big Data
Introduction to Hadoop
History and Milestones of Hadoop
Organizations Using Hadoop
Quiz
Summary
Thank You
Getting Started with Hadoop update
Getting Started with Hadoop
Objectives
VMware Player - Introduction
VMware Player - Hardware Requirements
Steps to Install VMware Player
Install VMware Player - Step
Install VMware Player - Step
Install VMware Player - Step
Install VMware Player - Step
Install VMware Player - Step
Install VMware Player - Step
Install VMware Player - Step
Install VMware Player - Step
Install VMware Player - Step
Steps to Create a VM in VMware Player
Create a VM in a VMware Player - Step
Create a VM in a VMware Player - Step
Create a VM in a VMware Player - Step
Create a VM in a VMware Player - Step
Create a VM in a VMware Player - Step
Create a VM in a VMware Player - Step
Open a VM in VMware Player - Step
Open a VM in VMware Player - Step
Oracle VirtualBox to Open a VM
Open a VM using Oracle VirtualBox - Step
Open a VM using Oracle VirtualBox - Step
Open a VM using Oracle VirtualBox - Step
Open a VM using Oracle VirtualBox - Step
Business Scenario
Demo
Demo Summary
Summary
Thank You
Hadoop Architecture
Hadoop Architecture
Objectives
Key Terms
Hadoop Cluster Using Commodity Hardware
Hadoop Configuration
Hadoop Core Services
Apache Hadoop Core Components
Hadoop Core Components - HDFS
Hadoop Core Components - MapReduce
Regular File System vs HDFS
HDFS - Characteristics
HDFS - Key Features
HDFS Architecture
HDFS - Operation Principle
HDFS
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
Demo
Demo Summary
Quiz
Summary
Thank You
Hadoop Deployment
Hadoop Deployment
Objectives
Ubuntu Server - Introduction
Installation of Ubuntu Server .
Business Scenario
Demo
Demo Summary
Hadoop Installation - Prerequisites
Hadoop Installation
Hadoop Installation - Step
Hadoop Installation - Step
Hadoop Installation - Step
Hadoop Installation - Step
Hadoop Installation - Step
Hadoop Installation - Step
Hadoop Installation - Step
Hadoop Installation - Step (contd)
Hadoop Installation - Step
Hadoop Installation - Step (contd)
Hadoop Installation - Step (contd)
Hadoop Installation - Step
Hadoop Installation - Step (contd)
Hadoop Installation - Step
Hadoop Installation - Step (contd)
Hadoop Installation - Step
Hadoop Installation - Step
Hadoop Installation - Step (contd)
Demo
Demo Summary
Hadoop Multi-Node Installation - Prerequisites
Steps for Hadoop Multi-Node Installation
Hadoop Multi-Node Installation - Steps and
Hadoop Multi-Node Installation - Step
Hadoop Multi-Node Installation - Step (contd)
Hadoop Multi-Node Installation - Step
Hadoop Multi-Node Installation - Step ( contd)
Hadoop Multi-Node Installation - Step (contd)
Single-Node Cluster vs Multi-Node Cluster
Demo
Demo Summary
Demo
Demo Summary
Demo
Demo Summary
Quiz
Summary
Thank You
Introduction to MapReduce
Introduction to MapReduce
Objectives
MapReduce - Introduction
MapReduce - Analogy
MapReduce - Analogy (contd)
MapReduce - Example
Map Execution
Map Execution - Distributed Two Node Environment
MapReduce Essentials
MapReduce Jobs
MapReduce Engine
MapReduce and Associated Tasks
MapReduce Association with HDFS
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
Demo
Demo Summary
Build MapReduce Program
Hadoop MapReduce Requirements
Hadoop MapReduce - Features
Hadoop MapReduce - Processes
Steps of Hadoop MapReduce
MapReduce - Responsibilities
MapReduce Java Programming in Eclipse
Create a New Project Step
Create a New Project Step
Create a New Project Step
Create a New Project Step
Create a New Project Step
Demo
Demo Summary
Demo
Demo Summary
Checking Hadoop Environment for MapReduce
Demo
Demo Summary
Demo
Demo Summary
Demo
Demo Summary
MapReduce v .
Quiz
Summary
Thank You
Advanced HDFS and MapReduce
Advanced HDFS and MapReduce
Objectives
Advanced HDFS - Introduction
HDFS Benchmarking
HDFS Benchmarking (contd)
Setting Up HDFS Block Size
Setting Up HDFS Block Size - Step
Setting Up HDFS Block Size - Step
Decommissioning a DataNode
Decommissioning a DataNode - Step
Decommissioning a DataNode - Step
Decommissioning a DataNode - Step and
Business Scenario
Demo
Demo Summary
Advanced MapReduce
Interfaces
Data Types in Hadoop
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)
Demo
Demo Summary
Quiz
Summary
Thank You
Pig
Pig
Objectives
Challenges Of MapReduce Development Using Java
Introduction To Pig
Components Of Pig
How Pig Works
Data Model
Data Model (contd)
Nested Data Model
Pig Execution Modes
Pig Interactive Modes
Salient Features
Pig vs SQL
Pig vs SQL - Example
Installing Pig Engine
Steps To Installing Pig Engine
Installing Pig Engine - Step
Installing Pig Engine - Step
Installing Pig Engine - Step
Installing Pig Engine - Step
Installing Pig Engine - Step
Run A Sample Program To Test Pig
Getting Datasets For Pig Development
Prerequisites To Set The Environment For Pig Latin
Prerequisites To Set The Environment For Pig Latin - Step
Prerequisites To Set The Environment For Pig Latin - Step
Prerequisites To Set The Environment For Pig Latin - Step
Loading And Storing Methods - Step
Loading and Storing Methods - Step
Script Interpretation
Filtering and Transforming
Grouping and Sorting
Combining and Splitting
Pig Commands
Business Scenario
Demo
Demo Summary
Demo
Demo Summary
Demo
Demo Summary
Demo
Demo Summary
Demo
Demo Summary
Demo
Demo Summary
Quiz
Summary
Thank You
Hive
Hive
Objectives
Need for Additional Data Warehousing System
Hive - Introduction
Hive - Characteristics
System Architecture and Components of Hive
Metastore
Metastore Configuration
Driver
Query Compiler
Query Optimizer
Execution Engine
Hive Server
Client Components
Basics of The Hive Query Language
Data Model - Tables
Data Model - External Tables
Data Types in Hive
Data Model - Partitions
Serialization and Deserialization
Hive File Formats
Hive Query Language - Select
Hive Query Language - JOIN and INSERT
Hive Installation - Step
Hive Installation - Step
Hive Installation - Step
Hive Installation - Step
Running Hive
Programming in Hive
Programming in Hive (contd)
Programming in Hive (contd)
Programming in Hive (contd)
Programming in Hive (contd)
Programming in Hive (contd)
Programming in Hive (contd)
Programming in Hive (contd)
Programming in Hive (contd)
Hive Query Language - Extensibility
User-Defined Function
Built-In Functions
Other Functions in Hive
MapReduce Scripts
UDF and UDAF vs MapReduce Scripts
Business Scenario
Demo
Demo Summary
Demo
Demo Summary
Demo
Demo Summary
Demo
Demo Summary
Quiz
Summary
Thank You
HBase
HBase
Objectives
HBase - Introduction
Characteristics of HBase
Companies Using HBase
HBase Architecture
HBase Architecture (contd)
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
Installation of HBase - Step
Installation of HBase - Steps and
Installation of HBase - Steps and
Installation of HBase - Steps and
Installation of HBase - Step
Configuration of HBase
Configuration of HBase - Step
Configuration of HBase - Step
Configuration of HBase - Steps and
Business Scenario
Demo
Demo Summary
Connecting to HBase
HBase Shell Commands
HBase Shell Commands (contd)
Quiz
Summary
Thank you
Commercial Distribution of Hadoop
Commercial Distribution of Hadoop
Objectives
Cloudera - Introduction
Cloudera CDH
Downloading The Cloudera QuickStart Virtual Machine
Starting The Cloudera VM
Starting The Cloudera VM - Steps and
Starting The Cloudera VM - Steps and
Starting The Cloudera VM - Step
Starting The Cloudera VM - Step
Logging Into Hue
Logging Into Hue (contd)
Logging Into Hue (contd)
Cloudera Manager
Logging Into Cloudera Manager
Business Scenario
Demo
Demo Summary
Demo
Demo Summary
Hortonworks Data Platform
MapR Data Platform
Pivotal HD
IBM InfoSphere BigInsights
IBM InfoSphere BigInsights (contd)
Quiz
Summary
Thank You
ZooKeeper Sqoop and Flume
ZooKeeper, Sqoop and Flume
Objectives
Introduction to ZooKeeper
Features of ZooKeeper
Challenges Faced in Distributed Applications
Coordination
Goals of ZooKeeper
Uses of ZooKeeper
ZooKeeper Entities
ZooKeeper Data Model
ZooKeeper Services
ZooKeeper Services (contd)
Client API Functions
Recipe : Cluster Management
Recipe : Leader Election
Recipe : Distributed Exclusive Lock
Business Scenario
Demo
Demo Summary
Why Sqoop
Why Sqoop (contd)
Benefits of Sqoop
Sqoop Processing
Sqoop Under The Hood
Importing Data Using Sqoop
Sqoop Import - Process
Sqoop Import - Process (contd)
Importing Data To Hive
Importing Data To HBase
Importing Data To HBase (contd)
Exporting Data From Hadoop Using Sqoop
Exporting Data From Hadoop Using Sqoop (contd)
Sqoop Connectors
Sample Sqoop Commands
Business Scenario
Demo
Demo Summary
Demo
Demo Summary
Why Flume
Apache Flume - Introduction
Flume Model
Flume - Goals
Scalability In Flume
Flume - Sample Use Cases
Business Scenario
Demo
Demo Summary
Quiz
Summary
Thank You
Ecosystem and its Components
Ecosystem and Its Components
Objectives
Apache Hadoop Ecosystem
Apache Oozie
Apache Oozie Workflow
Apache Oozie Workflow (contd)
Introduction to Mahout
Why Mahout
Features of Mahout
Usage of Mahout
Usage of Mahout (contd)
Apache Cassandra
Why Apache Cassandra
Apache Spark
Apache Spark Tools
Key Concepts Related to Apache Spark
Apache Spark - Example
Hadoop Integration
Quiz
Summary
Thank You
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
Different Configurations for Hadoop Cluster
Different Configurations for Hadoop Cluster (contd)
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
Demo
Demo Summary
Demo
Demo Summary
Hadoop Security - Kerberos
Kerberos - Authentication Mechanism
Kerberos Configuration
Data Confidentiality
Quiz
Summary
Thank You
Final Words
Final Words