IT Employment

Ask something
Discussion Locked

IT Debate: Data warehouse vs data mining

0 helpful
6 replies

by itdebate

Closed to new repliesThis discussion is closed. It stays readable, but it takes no new replies.
Does your company provide adequate resources to implement an effective data warehouse and data mining program? Does your marketing department have unrealistic expectations about the results of data mining? You can read the related Gartner article, which will be posted 3:00 AM Wednesday, at https://www.techrepublic.com/article.jhtml?id=r00620000920ggp01.htm

6 replies

by donq

I sure hope you don't plan to extol the virtues of Hungarian Notation identifying warehouse objects like everyone else does. The Hungarian Notation Naming convention is intuitively INCOMPATABLE with Database normalization and/or efficient Data Modeling.

The new thing is "Business Notation" and it IS extremely simple, unlimited in size, AND automatically creates a normalized data structure if followed! Let's build a good unlimited structure FIRST - then we can worry about replication, synchronization, data availability and operating speed, + all the other stuff.

by plantogo2000

Most companies including mine have limited resources (people and money) to conduct Data Mining (DM) and Data Warehousing (DW) activities. At best it has been a special project that has usually led to other mini projects. Outside of research and development using statistical and data replication techniques, the process has limited value to a company moving at Internet and Network speed with limited personnel and funding.

by plantogo2000

Most companies including mine have limited resources (people and money) to conduct Data Mining (DM) and Data Warehousing (DW) activities. At best it has been a special project that has usually led to other mini projects. Outside of research and development using statistical and data replication techniques, the process has limited value to a company moving at Internet and Network speed with limited personnel and funding.

This discussion is closed to new replies.