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  Data Warehouse

Introduction to Data Warehouse

A data warehouse is a separate data environment  that is not directly integrated with day to day application but encompasses all data  used by a business. A data warehouse is a large independent  data base that includes some  of the data  stored in database, and serve as the  set of application required by a business. Data warehousing  has some  attributes:

1. Subject Orientation: A data  warehouse is organized by major  business subject or for  major  project.

2. Integration: The data warehouse should have consistent  mining conventions, units and measures, encoding structures and physical attributes.

3. Time Variancy : In a data  warehouse data can be accessed at a  specific moment in time  like  five  to ten years.

4. Non Volatility : Once data  are loaded into the warehouse, but after the original transfer the  data  do not change.

In this way the data design provides the concept and formation of data  structures and the  data warehouse.

Architectural Design

As we know  that large system are always decomposed into sub systems that provide some related set of  services. The initial design process of identifying  these sub system and establishing  a framework for  sub system control and communication is  called  architectural design and the  output of the  design is a description of the software architecture.

So, the main  objective of architectural design is to develop a modular  program structure and represent the control relationship between modules.  Additionally architectural design uses program structure and data structure to define interface to enable data flow  throughout  the program.

The architectural  design process establishes a basic  structural framework for a system.  It involves identifying the major components of  the system and then communication s between these components. Bass et al. In 1998, described three advantages of explicitly designing and  documenting a software architecture:

1. Stakeholder Communication: The architecture is a high level presentation of the system may  be used by different  stakeholders for  discussion purpose.

2. System Analysis: The system architecture can  be made at an early stage of system analysis. Architectural design decisions are made to check the system that it can meet critical requirements such  as performance, reliability and maintainability or not.

3. Large Scale  Reuse: A system  architecture is a compact manageable description of how  a system is organised and how  the  components inter operate. The architecture can be  transferred across systems with  similar requirements  and so  support large scale software reuse.

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