Diff bw DB and DW

[Former Member]

what is the Differnce between Database and Data warehouse?

[Former Member]

Hi,

DataWarehousing is the concept and BIW is a tool that uses this concept in Business applicaitons.

DataWarehousing allows you to analyze tons of data (millions and millions of records of data) in a convinent and optimum way, it is called BIW when applied to Business applications like analyzing the sales of a company.

Advantages- Consedering the volume of business data, BIW allows you to make decisions faster, I mean you can analyze data faster. Support for multiple languges easy to use and so on.

Regards

[Former Member]

Hi Kiran,

without having database how will u analyze the records in Data WareHouse?

[Former Member]

<b>DATABASE</b>

In computing, a database can be defined as a structured collection of records or data that is stored in a computer so that a program can consult it to answer queries. The records retrieved in answer to queries become information that can be used to make decisions. The computer program used to manage and query a database is known as a database management system (DBMS). The properties and design of database systems are included in the study of information science.

The term "database" originated within the computing discipline. Although its meaning has been broadened by popular use, even to include non-electronic databases, this article is about computer databases. Database-like records have been in existence since well before the Industrial Revolution in the form of ledgers, sales receipts and other business-related collections of data.

The central concept of a database is that of a collection of records, or pieces of Information. Typically, for a given database, there is a structural description of the type of facts held in that database: this description is known as a schema. The schema describes the objects that are represented in the database, and the relationships among them. There are a number of different ways of organizing a schema, that is, of modeling the database structure: these are known as database models (or data models). The model in most common use today is the relational model, which in layman's terms represents all information in the form of multiple related tables each consisting of rows and columns (the true definition uses mathematical terminology). This model represents relationships by the use of values common to more than one table. Other models such as the hierarchical model and the network model use a more explicit representation of relationships.

The term database refers to the collection of related records, and the software should be referred to as the database management system or DBMS. When the context is unambiguous, however, many database administrators and programmers use the term database to cover both meanings.

Many professionals consider a collection of data to constitute a database only if it has certain properties: for example, if the data is managed to ensure its integrity and quality, if it allows shared access by a community of users, if it has a schema, or if it supports a query language. However, there is no definition of these properties that is universally agreed upon.

Database management systems are usually categorized according to the data model that they support: relational, object-relational, network, and so on. The data model will tend to determine the query languages that are available to access the database. A great deal of the internal engineering of a DBMS, however, is independent of the data model, and is concerned with managing factors such as performance, concurrency, integrity, and recovery from hardware failures. In these areas there are large differences between products.

<b>DATA WAREHOUSE</b>

A data warehouse is the main repository of an organization's historical data, its corporate memory. It contains the raw material for management's decision support system. The critical factor leading to the use of a data warehouse is that a data analyst can perform complex queries and analysis, such as data mining, on the information without slowing down the operational systems.

Regards,

Pavan