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Pal, Bikramjit
- Proposed Business Principles Governing Enterprise Data Warehouse Design:Conceptual Framework with Enhancement of Knowledge Infrastructure via Context Model
Authors
1 Department of Computer Application, JIS College of Engineering, Block ‘A’, Phase III, Kalyani, Nadia–741235, West Bengal, IN
2 Department of Engineering and Technological Studies, University of Kalyani, Kalyani, Nadia–741235, West Bengal, IN
Source
Research Journal of Science and Technology, Vol 3, No 4 (2011), Pagination: 212-216Abstract
A Data Warehouse can quite easily become a dilemma if it is not designed, implemented and maintained specifically and properly. Keeping this in mind, the discussion about the newly proposed business principles, which are believed to help a business start and keep the data warehouse design and implementation on the road to achieve desired results, have been compiled. Inclusion of issues from both the business perspective as well as the perspective of information technology scenario has made a major difference and a significant impact to the business intellectuals.
The conceptual framework has been devised with the notion of enhancing the knowledge infrastructure, thereby ensuring better results on the totality. The conceptual framework has been pictorially demonstrated in the Context Model section, with the view of establishing enhancement of knowledge infrastructure through the unfathomable podium of expressing the new and innovative seven proposed business principles formulated.
The proposed principles amalgamated with the existing principles will aid any designer with suitable referent points to come up with the goods for his/her enterprise.
All the proposed principles have been detailed in the Implementation via Proposed Principles section and can be mostly incorporated in the modern enterprises.
Keywords
Data Warehouse, Business Principles, Technological Versatility, Inter-Organizational Synchronization and Inter-Personal Rapport, Transitive Diversification, Intrinsic Cause Effect Analysis, Coherent Feedback and Survey Mechanism, EP, PP, Context Model.
- Proposed formula Based on Study of Correlation between Hub and Spoke Architecture and Bus Architecture in Data Warehouse Architecture, Based on Distinct Parameters
Authors
1 Department of Computer Application, JIS College of Engineering, Block ‘A’, Phase III, Kalyani, Nadia-741235, West Bengal, IN
Source
Research Journal of Science and Technology, Vol 3, No 3 (2011), Pagination: 154-157Abstract
Data warehousing has evolved with every passing decade and it has come a long way from its inception and the modern era has made it an adequate part of pre-existing analytical methodologies. In the present status, data warehousing has evolved into a system which is capable of furnishing key performance metrics to high-level management, ensuring capability of analytical strength to middle-level management and aligning to the ability of providing corrective data to-and-fro back to low-level based on the basis of information derived from the analytical system.
The data warehouse market is currently triggered by business-driven solutions focussing on domain specific challenges and its allied histrionics that have conjured up the very basic nuances of data warehousing. The present business idologies of the global village have cropped up innovative and tougher challenges for the data warehouse designers and architects to ensemble a bigger and much better innovation.
Although, there are numerous methods available in the global market to cope up to this stiff challenges, but the evolutions have not made much of an impact in the global arena and the competitive market has prompted to venture into the unseen horizons over and over again.
Data warehouses are designed to facilitate reporting and analysis. The said characteristic of the data warehouse mainly focuses on the data storage and acts much like a buffer to absorb continuous stock of data which gets processed via numerous iterative steps to evolve into information, awaited by all tiers of an organization for various decision-making processes.
For over a decade, discussions and even controversies have lingered about which of the existing architectures is the best data warehouse architecture. The two "giants" of the data warehousing field, Bill Inmon and Ralph Kimball, are at the heart of disagreement. Inmon advocates the Hub&Spoke architecture (for example, the Corporate Information Factory), while Kimball promotes the data mart Bus architecture with conformed dimensions.
There are other architecture alternatives, but these two options are fundamentally different approaches, and each has strong advocates via implementation.