Abstract
Since data warehouse projects are large and complex, this chapter proposes an agile technique for data warehouse development. The notion of a data warehouse user story is developed and its difference with user stories of Scrum is brought out. A model-driven approach is presented using which it is possible to build data warehouse user stories. In this model, a decision-making application is seen at three levels. Agility involves obtaining a vertical slice across these levels and thereby defining a requirements granule. A granule is implemented as a data warehouse fragment. The issue of consolidating data warehouse fragments is considered thereafter and an approach to consolidation is formulated. It is proposed that consolidation of requirements granules should be done and therefore, the consolidation process is a part of the requirements engineering process. The chapter ends with a description of the tool support that is provided.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Cabibbo, L., & Torlone, R. (2004, June). On the integration of autonomous data marts. In 16th International Conference on Scientific and Statistical Database Management, 2004. Proceedings (pp. 223–231). IEEE.
Cabibbo, L., Panella, I., Torlone, R., & Tre, U. R. (2006, April). DaWaII: A tool for the integration of autonomous data marts. In ICDE (p. 158).
Riazati, D., Thom, J. A., & Zhang, X. (2010, January). Inferring aggregation hierarchies for integration of data marts. In Database and expert systems applications (pp. 96–110). Berlin: Springer.
Golfarelli, M., Rizzi, S., & Turricchia, E. (2011). Modern software engineering methodologies meet data warehouse design: 4WD. In Data warehousing and knowledge discovery (pp. 66–79). Berlin: Springer.
Jovanovic, P., Romero, O., Simitsis, A., Abelló, A., & Mayorova, D. (2014). A requirement-driven approach to the design and evolution of data warehouses. Information Systems, 44, 94–119.
Golfarelli, M., Maio, D., & Rizzi, S. (1998, January). Conceptual design of data warehouses from E/R schemes. In Proceedings of the Thirty-First Hawaii International Conference on System Sciences, 1998 (Vol. 7, pp. 334–343). IEEE.
Moody, L. D., & Kortink, M. A. R. (2000). From enterprise models to dimensional models: A methodology for data warehouses and data mart design. In Proceednigs of the International Workshop on Design and Management of Data Warehouses (pp. 5.1–5.12). Stockholm, Sweden.
Author information
Authors and Affiliations
Corresponding author
Rights and permissions
Copyright information
© 2018 Springer Nature Singapore Pte Ltd.
About this chapter
Cite this chapter
Prakash, N., Prakash, D. (2018). The Development Process. In: Data Warehouse Requirements Engineering. Springer, Singapore. https://doi.org/10.1007/978-981-10-7019-8_6
Download citation
DOI: https://doi.org/10.1007/978-981-10-7019-8_6
Published:
Publisher Name: Springer, Singapore
Print ISBN: 978-981-10-7018-1
Online ISBN: 978-981-10-7019-8
eBook Packages: Computer ScienceComputer Science (R0)