By nature, data warehouse projects are costly endeavors where many resources are consumed both hardware and software. Although, experienced database developers may use 90 percent of the same skills on their last projects, they may find themselves approaching development issues differently!
While the project team as a whole usually understands the risks and benefits of building a data warehouse, I find that not enough IT managers are initially aware of the unique challenges a data warehouse effort poses for database developers. Operating in a very large database (VLDB) multigigabyte to terabyte decision support system (DSS) data environment will often require unique approaches for database developers, where strategic value can be added to the warehouse development cycle. Understanding and anticipating the kinds of challenges developers will face in a DSS database is essential. This article will address a few of these challenges.
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