C

C is designed to provide high-level abstracts for all the native features of a general-purpose CPU, while at the same time allowing modularization, structure, and code re-use. It is intended use as a portable systems implementation language C has also been widely used to implement end-user applications, but as applications became larger, much of that development shifted to other languages.

SALIENT FEATURES

C++

In Object Oriented Programming Inheritance is the process by which objects of one class acquire the properties and functionality of objects of another class. It supports the concept of hierarchical classification. Class inheritance is not just about reusing the classes at many locations, it also adds enormous flexibility to the way in which one can program his application. The object-oriented programming approach focuses on objects as the basis for application building. Objects are instances of classes, which contain a description of related data and procedures.

SALIENT FEATURES

OOPS Concepts

The .NET framework takes the class library concept a step further by supporting it across any language and extensible for future platform variances. Now BCL-supported features such as remoting, string manipulation, exception handling, and collection management construct is the same from any language conforming to the CLI.

Introduction to Dot Net

Overview of Dot Net

Features of Dot Net

OOPS Concepts

.NET Frameworks

VB.NET Programming

C# Language

ASP.NET

ADO.NET

XML

JAVA

Java is an object-oriented language similar to C++, but simplified to eliminate language features that cause common programming errors. Java is a general purpose programming language with a number of features that make the language well suited for use on the World Wide Web. Small Java applications are called Java applets can be run on your computer.

SALIENT FEATURES

J2EE - RMI

JAVA Servlets

JAVA Beans

Relational databases are one of the most effective. Relational database systems are an application of mathematical set theory to the problem of effectively organizing data. In a relational database, data is collected into tables (called relations in relational theory).

A table represents some class of objects that are important to an organization. For example, a company may have a database with a table for employees, another table for customers, and another for stores. Each table is built of columns and rows (called attributes and tuples in relational theory). Each column represents some attribute of the object represented by the table. For example, an Employee table would typically have columns for attributes such as first name, last name, employee ID, department, pay grade, and job title. Each row represents an instance of the object represented by the table. For example, one row in the Employee table represents the employee who has employee ID 12345.

When organizing data into tables, you can usually find many different ways to define tables. Relational database theory defines a process called normalization, which ensures that the set of tables you define will organize your data effectively.

Introduction to the RDBMS

Querying and Managing Data Using SQL Server 2000/2005

Features of RDBMS