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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