A Survey on Data Warehousing
Keywords:
Data Warehousing, SQL query, Craftsmanship, Warehouse Architectures, Health care service, Telecommunication servicesAbstract
Data warehousing is a phenomenon that grew from the huge amount of electronic data stored in recent years and from the urgent need to use that data to accomplish goals that go beyond the routine tasks linked to daily processing. In a typical scenario, a large corporation has many branches, and senior managers need to quantify and evaluate how each branch contributes to the global business performance. The corporate database stores detailed data on the tasks performed by branches. To meet the managers' needs, tailor-made queries can be issued to retrieve the required data. In order for this process to work, database administrators must first formulate the desired query (typically an aggregate SQL query) after closely studying database catalogs. Then the query is processed. This can take a few hours because of the huge amount of data, the query complexity, and the concurrent effects of other regular workload queries on data. Finally, a report is generated and passed to senior managers in the form of a spreadsheet.
References
- Dedic, N. and Stanier C., 2016., "An Evaluation of the Challenges of Multilingualism in Data Warehouse Development" in 18th International Conference on Enterprise Information Systems - ICEIS 2016, p. 196.
- Jump up to:a b "9 Reasons Data Warehouse Projects Fail". blog.rjmetrics.com. Retrieved 2017-04-30.
- Jump "Exploring Data Warehouses and Data Quality". spotlessdata.com. Retrieved 2017-04-30.
- Jump "What is Big Data". spotlessdata.com. Retrieved 2017-04-30.
- Jump Patil, Preeti S.; Srikantha Rao; Suryakant B. Patil (2011). "Optimization of Data Warehousing System: Simplification in Reporting and Analysis"
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