Hadoop Course Program In USA - 75 Hours Of Training

Hadoop/Big Data + Java Training - 70 Hours - $500 per Student

Empire Data Systems - #1 Database Training house in USA!!!

General information about the course

• Most comprehensive Hadoop/Big Data + JAVA course with Hands-On lab exercise in USA.
• Trained by BI Architect with 10 year’s industry experience.
• Total duration of the course is 70 hours.
• Course fee is $500 per student.
• Course schedule is Monday to Friday 9:00PM to 11:00 PM Eastern Time.
• After each class, you will get.
• Excellent course material.
• Hands-On LAB exercises which you need to finish before next class.
• Recorded video of the live class which you can keep it forever and review it later.

See our comprehensive course content below... Believe me, you will not be disappointed!!!

About the trainer

Mr. Prafulla has 10 years of experience working on enterprise BI software products. Throughout, he worked upon development activity of 'IBM Netezza Performance Server' (which is a widely used data warehouse appliance), and Cognos Business Intelligence reporting (data analysis) product and Data Manager-ETL tool of IBM-Cognos.  He is also having hands on experience in installing, configuring and using ecosystem components like HadoopMap Reduce, Apache Camel, HDFS, HBase, Oozie, Sqoop, Flume, Pig & Hive. In-depth understanding of designing and coding using Core Java, Linux /UNIX technologies.

Currently, Prafulla is working as an independent Big Data consultant owning multiple responsibilities for setting up big data projects for multiple organizations. His some of the recent big data engagements include -

• Opinion Mining Engine-Used to derive sentiment score out of huge data from news sites
• Product Comparison Engine-Used to enable online shopper to choose the seller who is selling the product at a lower price than the other online retailers.
• MR based version of Hub And Authority algorithm
• Design and development of Distributed Search and Selective Replication

In past, he has been awarded “One of 15 percent top mentors” in IBM for providing mentor-ship to university graduates under University Relations program of IBM.

"Get trained from the MASTER!!!"

Part-1: Big Data / Hadoop Course Contents (45 Hours)

Chapter 1 - Introduction to Big Data

• Importance of Data
• ESG Report on Analytics
• Big Data & It’s Hype
• What is Big Data?
• Structured vs unstructured data
• Definition of Big Data
• Big Data Users & Scenarios
• Challenges of Big Data
• Why Distributed Processing?

Chapter 2-Hadoop

• History Of Hadoop
• Hadoop Ecosystem
• Hadoop Animal Planet
• When to use & when not to use Hadoop
• What is Hadoop?
• Key Distinctions of Hadoop
• Hadoop Components/Architecture
• Understanding Storage Components
• Understanding Processing Components
• Anatomy Of a File Write
• Anatomy of  a File Read

Chapter 3-Understanding Hadoop Cluster

• Handout discussion
• Walkthrough of CDH setup
• Hadoop Cluster Modes
• Hadoop Configuration files
• Understanding Hadoop Cluster configuration
• Data Ingestion to HDFS

Chapter 4 - MapReduce

• Meet MapReduce
• Word Count Algorithm-Traditional approach
• Traditional approach on a Distributed system
• Traditional approach-Drawbacks
• MapReduce approach
• Input & Output Forms of a MR program
• Map, Shuffle & Sort, Reduce Phases
• Workflow & Transformation of Data
• Word Count Code walkthrough

Chapter 5 - MapReduce

• Input Split & HDFS Block
• Relation between Split & Block
• MR Flow with Single Reduce Task
• MR flow with multiple Reducers
• Data locality Optimization
• Speculative Execution

Chapter 6-Advanced MapReduce

• Combiner
• Partitioner
• Counters
• Hadoop Data Types
• Custom Data Types
• Input Format & Hierarchy
• Output Format & Hierarchy
• Side Data distribution - Distributed cache

Chapter 7-Advanced MapReduce

• Joins
• Map side Join using Distributed cache
• Reduce side Join
• MR Unit-Unit testing framework

Chapter 8-Pig

• What is Pig?
• Why Pig?
• Pig vs Sql
• Execution Types or Modes
• Running Pig
• Pig Data types
• Pig Latin relational Operators
• Multi Query execution
• Pig Latin Diagnostic Operators

Chapter 9-Pig

• Pig Latin Macro & UDF statements
• Pig Latin  Commands
• Pig Latin  Expressions
• Schemas
• Pig Functions
• Pig Latin File Loaders
• Pig UDF & executing a Pig UDF

Chapter 10-Hive

• Introduction to Hive
• Pig Vs Hive
• Hive Limitations & Possibilities
• Hive Architecture
• Metastore
• Hive Data Organization
• Hive QL
• Sql vs Hive QL
• Hive Data types
• Data Storage
• 1Managed & External Tables

Chapter 11-Hive

• Partitions & Buckets
• Storage Formats
• Built-in Serdes
• Importing Data
• Alter & Drop Commands
• Data Querying

Chapter 12-Hive

• Using MR Scripts
• Hive Joins
• Sub Queries
• Views
• UDFs

Chapter 13-HBase

• Introduction to NoSql & HBase
• Row & Column oriented storage
• Characteristics of a huge DB
• What is HBase?
• HBase Data-Model
• HBase vs RDBMS
• HBase architecture
• HBase in operation
• Loading Data into HBase
• HBase shell commands
• 1HBase operations through Java
• 1HBase operations through MR

Chapter 14-ZooKeeper & Oozie

• Introduction to Zookeeper
• Distributed Coordination
• Zookeeper Data Model
• Zookeeper Service
• Zookeeper in HBase
• Introduction to Oozie
• Oozie workflow

Chapter 15-Sqoop

• Introduction to Sqoop
• Sqoop design
• Sqoop Commands
• Sqoop Import & Export Commands
• Sqoop Incremental load Commands

Chapter 16-Hadoop 0 & YARN

• Hadoop 1 Limitations
• HDFS Federation
• NameNode High Availability
• Introduction to YARN
• YARN Applications
• YARN Architecture
• Anatomy of an YARN application

Chapter 17-Project Discussion

• Java to MapReduce Conversion
• MapReduce Project

Chapter 18-Project Discussion

• Hive Project
• Pig Project

Part–2: Java / J2EE Course Contents (25 Hours)

Chapter 1: The History and Evolution of Java

• Java’s Lineage
• The Birth of Modern Programming: C
• C++: The Next Step
• The Stage Is Set for Java
• The Creation of Java
• Portability
• Java's Magic: The Bytecode
• Object-Oriented
• Architecture-Neutral
• Distributed
• Dynamic
• The Evolution of Java
• Java SE 8
• A Culture of Innovation

Chapter 2: An Overview of Java

• Object-Oriented Programming
• Two Paradigms
• Abstraction
• The Three OOP Principles
• A First Simple Program
• Entering the Program
• Compiling the Program
• A Closer Look at the First Sample Program
• A Second Short Program
• Two Control Statements
• The if Statement
• The for Loop
• Using Blocks of Code
• Lexical Issues
• Whitespace
• Identifiers
• Literals
• Comments
• Separators
• The Java Keywords
• The Java Class Libraries

Chapter 3: Data Types, Variables, and Arrays

• Java Is a Strongly Typed Language
• The Primitive Types
• Integers
• byte
• short
• int
• long
• Floating-Point Types
• float
• double
• Characters
• Booleans
• A Closer Look at Literals
• Integer Literals
• Floating-Point Literals
• Boolean Literals
• Character Literals
• String Literals
• Variables
• Declaring a Variable
• Dynamic Initialization
• The Scope and Lifetime of Variables
• Type Conversion and Casting
• Java's Automatic Conversions
• Casting Incompatible Types
• Automatic Type Promotion in Expressions- The Type Promotion Rules
• Arrays
• One-Dimensional Arrays
• Multidimensional Arrays
• Alternative Array Declaration Syntax
• A Few Words About Strings
• A Note to C/C++ Programmers About Pointers

Chapter 4: Operators

• Arithmetic Operators
• The Basic Arithmetic Operators
• The Modulus Operator
• Arithmetic Compound Assignment Operators
• Increment and Decrement
• The Bitwise Operators
• The Bitwise Logical Operators
• The Left Shift
• The Right Shift
• The Unsigned Right Shift
• Bitwise Operator Compound Assignments
• Relational Operators
• Boolean Logical Operators
• Short-Circuit Logical Operators
• The Assignment Operator
• The ? Operator
• Operator Precedence
• Using Parentheses

Chapter 5: Control Statement

• Java's Selection Statements
• if
• switch
• Iteration Statements
• while
• do-while
• for
• The For-Each Version of the for Loop
• Nested Loops
• Jump Statements
• Using break
• Using continue

    Chapter 6: Introducing Classes

• Class Fundamentals
• The General Form of a Class
• A Simple Class
• Declaring Objects
• A Closer Look at new
• Assigning Object Reference Variables
• Introducing Methods
• Adding a Method to the Box Class
• Returning a Value
• Adding a Method That Takes Parameters
• Constructors
• Parameterized Constructors
• The this Keyword
• Instance Variable Hiding
• Garbage Collection
• The finalize( ) Method
• A Stack Class

Chapter 7: A Closer Look at Methods and Classes

• Overloading Methods
• Overloading Constructors
• Using Objects as Parameters
• A Closer Look at Argument Passing
• Returning Objects
• Recursion
• Introducing Access Control
• Understanding static
• Introducing final
• Arrays Revisited
• Introducing Nested and Inner Classes
• Exploring the String Class
• Using Command-Line Arguments
• Varargs: Variable-Length Arguments
• Overloading Vararg Methods
• Varargs and Ambiguity

Chapter 8: Inheritance

• Inheritance Basics
• Member Access and Inheritance
• A More Practical Example
• A Superclass Variable Can Reference a Subclass Object
• Using super
• Using super to Call Superclass Constructors
• A Second Use for super
• Creating a Multilevel Hierarchy
• When Constructors Are Executed
• Method Overriding
• Dynamic Method Dispatch
• Why Overridden Methods?
• Applying Method Overriding
• Using Abstract Classes
• Using final with Inheritance
• Using final to Prevent Overriding
• Using final to Prevent Inheritance
• The Object Class

Chapter 9: Packages and Interfaces

• Packages
• Defining a Package
• Finding Packages and CLASSPATH
• A Short Package Example
• Access Protection
• An Access Example
• Importing Packages
• Interfaces
• Defining an Interface
• Implementing Interfaces
• Nested Interfaces
• Applying Interfaces
• Variables in Interfaces
• Interfaces Can Be Extended
• Default Interface Methods
• Default Method Fundamentals
• A More Practical Example
• Multiple Inheritance Issues
• Use static Methods in an Interface
• Final Thoughts on Packages and Interfaces

Chapter 10: Exception Handling

• Exception-Handling Fundamentals
• Exception Types
• Uncaught Exceptions
• Using try and catch
• Displaying a Description of an Exception
• Multiple catch Clauses
• Nested try Statements
• throws
• finally
• Java's Built-in Exceptions
• Creating Your Own Exception Subclasses
• Chained Exceptions
• Three Recently Added Exception Features
• Using Exceptions

Chapter 11: Multithreaded Programming

• The Java Thread Model
• Thread Priorities
• Synchronization
• Messaging
• The Thread Class and the Runnable Interface
• The Main Thread
• Creating a Thread
• Implementing Runnable
• Extending Thread
• Choosing an Approach
• Creating Multiple Threads
• Using isAlive( ) and join( )
• Thread Priorities
• Synchronization
• Using Synchronized Methods
• The synchronized Statement
• Inter-thread Communication
• Deadlock
• Suspending, Resuming, and Stopping Threads
• Obtaining A Thread's State
• Using Multithreading

Get trained from the MASTER!!!!! You will not be disappointed.

This is a course run by a professional for other professionals. Join my course only if you are SERIOUS about learning Hadoop/BigData