Unit 4 P4 Research Paper

List all variables you will use (use valid variable names). Indicate whether the data type is string, integer, or double, and so on.

Gathering of values and variables which are related in some sense and differing in other sense is called as “DATA”. In recent days it is observed that size of data has been increasing. The quantity of data that is increasing for very two days is equal to the amount of data that has been produced until 2003. The year 2007 was the first year in which we were unable to store the data that we produced. This increase in size of data is proportional to the increase in the size of database. This lead to a

In this presentation I will be looking at data types and how they can be used and represented.

The declarations of the variable provide a specified storage that the programs can compute. The variables are declared has particular type which defines the size, length and structure of the variable in the memory and the operations that can be performedon the variable. Before using the variables it must

Data Types: We can use many data types like Boolean, char, byte, int, short, float, long, double.

Variable data provides more information than attribute data because is continuous, the advantage it gives is that we saves time and money because we don’t need to collect as much variable data.

While designing and defining tables in databases, it is important to find out the data type for each column in the data tables. A data type is an attribute which defines the type of data an object can retain: integer, string, data and time, etc. There are basically three main types: text, numbers and date/times. The data types are different, depending on the database management system (DBMS), the various types of which include SQL Server, Oracle and MySQL.

Tables lie in the core of any given database. Thanks to them, the possibility of redundancy is greatly reduced. A database can consist of a number of different tables which enables the researcher to break information down into smaller (and easier to analyse) pieces. Just like spread sheets, they consist of rows (also called records) and columns (fields). By using records, researchers are able to combine

It can be used to tag data, defining data types, is a technology that allows users to define their own markup language source language. It is ideal for Web transmission, providing a unified approach to describing and exchanging independent of applications or vendors of structured data.

It can be used to tag data, defining data types, is a technology that allows users to define their own markup language source language. It is ideal for Web transmission, providing a unified approach to describing and exchanging independent of applications or vendors of structured data.

Robert’s defined abstract data type as “the algorithms operations that are preformed rather than implemented the data structure and algorithms operating on it should refer to anything inside, except through function and procedure calls for the fundamental operations. The main reason for the development of abstract data types has been as a mechanism for organizing large programs. Abstract data types provide a way to limit the size and complexity of the interface between (potentially complicated) algorithms and associated data structures and a potentially large number of programs that use the algorithms and data structures, making it easier to understand large program and more convenient to change or improve the fundamental algorithms”.(2:pg30)

| |be processed. Data can be something simple |or presented in a given context so as to make|

Type of Data: A data could be broadly classified in to three types viz. structured data, unstructured data and semi-structured data. Structured data are those which reside in a fixed field within a record or a file such as customer’s name, address, phone number etc. Unstructured data refers to information that is not organized in a pre-defined manner. Examples of Unstructured model include images, videos, word presentations etc. It is estimated that unstructured data occupies almost 80% of all available data in organizations. Semi-structured data are those that do not have a strict data model. For example, an email contains both structured data such as sender’s name, recipient’s name and subject and also unstructured portion such as attachments and body of the letter. (http://www.webopedia.com/TERM/S/structured_data.html).In an integrated, 3-tier architecture such data are handled by XML as data traverses through various layers via an Enterprise Service Bus (ESB).Thus, choosing a database requires the type of data to be taken in to consideration .

D.3.3 [Programming Languages]: Language Constructs and Features – abstract data types, polymorphism, control structures. This is just an example, please use the correct category and subject descriptors for your submission. The ACM Computing Classification Scheme: http://www.acm.org/class/1998/

There are also efficient means of converting value types to object types if and when necessary.