Grids: A Reverse Trend Grid computing sounds a lot like a big mainframe for the masses, one difference being that all the nodes for the grid are geographically distributed, not centrally managed ("CEO Visions: Toward Saner Computing," Jan. 27, p. 21).
It looks like a reverse trend: After getting rid of mainframes and giving every user an overpowered workstation, we now find a way to take some of it back and share with others.
Nothing's wrong with grid computing, and I think very highly of Sun and its products, but how far is "network is the computer" from a mainframe with intelligent terminals? Ilya Simuni
Don't Forget Novell
I'm disappointed to see that you've again excluded Novell products in your discussion ("Identity Checkpoint," Jan. 20, p. 41). Using eDirectory, Single Sign On, and ZenWorks as a minimum would accomplish what was described as required in the article. Edward J. Egan
President, EJE Associates, Bethpage, N.Y.
Data warehousing is an incremental and iterative process, very different from building transaction systems ("Warehouse Worries," Jan. 13, p. 21). What looks like failure in an OLTP development project is often part of the process of building a data warehouse.
Unexpectedly poor quality data, shifting user requirements, and volatile business conditions often wreak havoc on data warehouse project time lines and budgets. Experienced data warehouse professionals are learning to mitigate these risks. Our studies show that few so-called data warehousing "failures"--in which project deadlines slip or business requirements aren't met--are abandoned; most are simply retrenched with new deadlines and a more realistic project scope to deal with the vicissitudes of trying to hit a moving target. Wayne Eckerson
Director of Research, The Data Warehousing Institute, Hingham, Mass.
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