Data Warehousing Technology
Data Warehousing Technology
A data ware house is a collection of all information/data reflecting all aspects of the operation of an organization. It is a subject oriented, non-volatile, integrated, and time-variant data collection. Data warehousing, therefore, is created when data is integrated from multiple different sources. It stores historical as well as current data, therefore, they are used when creating trending reports such as quarterly and annual comparisons for the management. The aim of using data housing is to assist organizations and businesses in making strategic decisions.
Operation systems like sales, marketing etc. are used when uploading data to be stored in the warehouse. Before they are used, the data may pass through an operational data store for additional operations.
The warehouse is sub-oriented since its main objective is to facilitate the company’s decision process and naturally within any company data concentrates around a subject area, therefore, gathering of information in data warehouse aims for a specific subject and not for the functions of the company. The data is collected within the ware house (integrated) and come from different databases, tables or even servers, but can be combined into a single unit which is logical and relevant for strategic decision making and convenience. The data in the warehouse is stable (non-volatile) since on a given time it is the snapshot of operational data and, therefore, the data in the data ware house is rarely deleted, but usually added. Data within the warehouse can be found within a given time period hence it is time-variant. (Xuanzi Hu 2009).
Vendors of Data Warehouse Technology
The leading provider for the enterprise business intelligence (BI) solutions is Business Objects. It enables companies to visualize their business, reduce costs, acquire and retain profitable customers, increase productivity, optimize the supply chain, and improve the financial performance.
For corporate performance management solutions and enterprise business intelligence (BI) IBM/Cognos is a leading provider. It delivers to the business executives and managers better business information. Therefore, the business corporate and intelligence performance is improved.
Worldwide leading provider of enterprise data integration solution to businesses/ organizations are IBM information Integration Solution. It provides the best enterprise information management solution for Global 2000 companies.
Complete Business Intelligence (BI) an offering that assists decision makers to improve performance of the business at tactical, strategic and organizational level is provided by Microsoft.
In analytical appliances and data warehouse, Netezza is the leading provider of appliances that simplify dramatically high performance analytics for users for business across the extended enterprise.
The word leading supplier of information management software and second largest independent software company in the word is Oracle.
Qlik Tech is the fastest growing vendor in memory associative analysis technology and in business intelligence (BI) software.
Data Validation in Data Warehousing Technology
The primary task in validation of data in the ware housing technology is reviewing the task used by the ETL tool. Care should be taken during data validation due to the large volume data volume to be loaded to ensure that mapping is validated to ensure that the data being loaded into specific elements is sourced from the tables that contain the information. A report will be created by the ETL tool which will be viewed or imported into the analytical interface such as Microsoft Access. Documentation of any transformation which occurred is then made. Use of counts will complete the next validation step. Running of the simple database queries can be done on either the entire table. It can be assume, that the records during the loading process or the ETL were not left out.
How Technology Can Be Used To Facilitate Decision Method
Data collected throughout production can be put into measurable quality throughout the production process. This information can be related to the production conditions and data available. Data, which tells about the progress of the company, is warranted, and the decision can be drawn.
Privacy and Confidentiality
Data regarding people, their activities and their other issues which have been collected over the years can be handed to the government. The government security agencies can use this data. This is a confidential data but finally have landed into the hands of the government. (Yücel Saygin 2008).
References
Alex, A. Freitas, J (2007) Revisiting the Foundations of Artificial Immune
Systems for Data Mining. IEEE Transactions on Evolutionary Computation, Vol.11,
Cody Bateman. (2008). Information Management
Http://www.information-management.com/infodirect/20021004/5855-1.html. Retrieved On December 2012.
Inmon, W, Silverston, and Graziano, K. (2007) A Library of Logical Data Models and Data Warehouse Designs.
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