CORE JAVA

• Object Oriented Programming.
• Package.
• Exception Handling.
• Multithreading.
• Using NetBean or Ecllipse.
• Input Output Streams
• Networking.

• Communication b/w program and computer?
• Java... Why? What? How(Green Project)? When?
• Different Java Versions.
• How Java is different from other Technologies

• Naming convention of Java language
• Comments
• Statements
• Blocks (Static, Non-static/instance)
• Identifiers
• Keywords
• Literals
• Primitive Data Types, Range
• Reference(User defined) Data type
• Variables (Primitive, Reference)
• Collection Framework, classes & interfaces of java.util package.
• JDBC (Java Data Base Connection),
• Types of Driver.

• How to Install & set Path.
• A Simple Java Program
• Compiling & executing Java Program
• Phases of Java Program
• Analysis of a Java Program
• Understanding Syntax and Semantic Error,
• Runtime Exception
• Name of a Java Source File
• Platform Independency
• Java Technology( JDK, JRE, JVM, JIT)
• Features of Java
• Text Editors
• Consoles

• Working with Control Structures
• Types of Control Structures
• Decision Control Structure (if, if-else, if else if, switch –case) Repetition Control Structure (do –while, while, for)

• Java program inputs from Keyboard
  • Methods of Keyboard inputs
  • Scanner, Buffered Reader
  • JOption Pane
  • Problem Solving
• Java Array
  • What is Array
  • Array Declaration in java vs C and C++.
  • Instantiation of an Array
  • String vs character array.Accessing Array
• Elements, Default Value,
  • for-each loop, varargs.
  • Length of an Array
  • ArrayIndexOutOfBoundsException).
  • Increasing, Decreasing the Size
  • and Copy of an Array
  • Multi-Dimensional Arrays
  • Problem Solving

• What is a Command-Line Argument?
  • Java Application with Command-Line Arguments
• Conversion of Command-Line Arguments
  • Passing Command-Line Arguments
  • Using methods (Static , Non Static)
  • Problem Solving

• Using various Editors
• Program Compilation, Execution in Editor
  • Using Eclipse IDE
  • Project Set Up
  • Source File Generation
  • Application Compilation and Run

• Different type of Program Procedural Vs Object Oriented.
• Top Down Vs Bottom Up Approach.
• Introduction to Object Oriented Programming
• Abstraction, Encapsulation, Inheritance, Polymorphism.
• Introduction to Classes and Objects
• Custom Class Definition
• Instance and Static Variables
• Different ways to create Object Instance
• Instance Variable and it's role in a Class
• Constructors, types of Constructor,
• Constructor Rule, Constructor
• Overloading.
• Static Variable and it's use.
• Methods and their behavior.
• Constructor vs Methods Constructors
• “this” K eyword.
• Java Access Modifiers ( and Specifiers)
• Explanation of psvm() , sopl()

• First View of Inner Class
• Outer Class Access
• Types of Inner Class

• A Little knowledge on Inheritance
  • Sub-Classes
  • Object Classes
  • Constructor Calling Chain
  • The use of "super" Keyword
• The use of “private” keyword inheritance. Problem Solving

• Introduction to Abstract Methods,
• Abstract Classes and Interface
• Interface as a Type
• Interface v/s Abstract Class
• Interface Definition
• Interface Implementation
• Multiple Interfaces' Implementation
• Interfaces' Inheritance

• Introduction to Polymorphism
• Types of Polymorphism.
• Overloading Methods.
• Overriding Methods.
• Hiding Methods
• Final Class and Method.
• Polymorphic Behaviour in Java.
• Benefits of Polymorphism.
• “Is-A” vs “Has-A”.
• Association Vs Aggregation.

• First look into Packages
• Benefits of Packages
• Package Creation and Use
• First look into Classpath
• Classpath Setting

• Introduction to Exceptions
• Exception Handling Mechanism
• Try,catch,finally block
• Rules of Exception Handling
• Exception class Hierarchy, Checked
• Unchecked Exception
• Throw & throws keyword
• Custom Exception Class
• Chained Exception.

• Stream Class Hierarchy
• Using File Class
• Copy and Paste the content of a file.
• Byte Streams vs Character Streams
• TextFile vs Binary File
• Character Reading from Keyboard by
• InputStreamReader
• Reading a Line/String from Keyboard by
• BufferedReader
• Standard I/O Streams
• Using Data Streams to read/writ e
• primitive data
• PrintStream vs PrintWriter

• Introduction and Advanages
• Creating a Thread by inheriting
• from Thread class
• Run() and start() method.
• Constructor of Thread Class.
• Various Method of Thread Class.
• Runnable Interface Implementation.
• Thread States and Priorities.
• Synchronization method, block
• Life Cycle of Thread.

• Collection
• What is Collection Framework
• List, Set & Map interfaces
• Using ArrayList, Stack,
• LinkedList, etc.
• Using Collections class for sorting.

• Introduction to JDBC.
• Databases and Drivers.
• Loading a driver class file.
• Establishing the Connection t o different
• Database with different Driver.
• Executing SQL queries by ResultSet,
• Statements , PreparedStatment interface.
• Using CallableStatement.

The simple and logical answer to the question is the quality of our Big Data Analytics training method. We have more than 6 years’ hand on experience on Big Data Hadoop training. Our trainers are industry recognised experts who have trained thousands of students in this industry and made a name in big data Hadoop. The trainers have worked on several global projects and can give the best real time experience of and on the field.

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IT professionals are preferred for Big Data Hadoop course. The Big Data Analytics training is a big a vast field with vast coding based field so requires people with coding experience.

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The Salary of data analytics or Big Data Hadoop is very handsome in the initial days also. The openings are very high currently and in future the openings will further increase. The average salary is around 45000. The biggest technique to draw maximum salary is cracking the interview with confidence. We ensure you imparting the best practical knowledge for gaining that confidence.

Yes, we do. If you want to enrol for internship in our Big Data Analytics training. You can easily enrol after completion of best Big Data Hadoop training from our institute. In internship, we are providing some basic amount as a salary. You need to do our client projects and give best result in that projects. After completion of internship, we will give experience letter of course for data analytics internship.

Don’t worry about certificate, you will get all promised Certifications after completion of Big Data Hadoop Certification from our institute. We provide software and course material in the starting week, so that you can easily grab and give best results in our training. We want you to be succeed in this training that’s why we are helping you in every step.

The initial profile after a Big Data Analytics training and Hadoop certification is of a Hadoop developer, analyst and technical consultant are the majority opening posts with handsome salary. Freelancing is always an option if you are master of the field.

Your trainer for Big Data Hadoop will be Mr Mukeem. Mr Mukeem is a Cloudera certified trainer with an experience of more than 7 years in the training industry of data analytics course. He has worked several multinationals as an expert on Big Data Hadoop and is an industry recognised person. He has successfully delivered more than 300 projects of Big Data Hadoop for several foreign clients and is a very renowned in the field of Data Analytics courses.

There are so many reasons to be the best in this Big Data Analytics course field. We are work on each student to give them best training, and because of our students and trainers, we are the leading data analytics and Hadoop course providers in Delhi NCR. Most of Hadoop institute’s in Delhi are working for fees but here at techstack education is the primary concern and the primary focus.

Yes, you can. Big Data Hadoop is very vast field and it takes times. That’s why, we need full dedication and support from your side to give you best training. We give task on daily basis and want students to finish them in time. Your full dedication and hard work with our training skills can change your whole world in three months. Our three months intense training will turn you into a corporate professional from a college kid. The Advance Hadoop training from the best Hadoop training in Delhi will be the biggest push to your career and will polish your skills further.

Big Data Analytics training and Hadoop Certification requires a good amount of technical knowledge. A novice will find it tricky and very difficult to learn the language. The developer part of Big Data Hadoop requires in depth knowledge of coding and different computer languages. The data analytics ideally requires an IT background professional, but the zeal to learn can make anything possible for anyone.

The techstack Big Data Analytics and Hadoop training module is purely practical based. The theory part is not taught in the institute. The notes are provided via mail or soft copy to study. The practical experience in techstack guarantees you to be the best in the industry and beat the best of the market. The most important feature of our practical training module is live projects. We prepare students by giving them live projects. The live projects teach them how to cope up with stress and pressure and work under the corporate pressure. The projects also help students to gain very helpful tips and tricks.

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