[From Search Oracle]
Data modeling tools have advanced considerably since the concept of data modeling began to take hold in the early 1970s, but many of today’s data modeling professionals say that projects still require good old-fashioned craftsmanship.
While data modeling tools and resources — which range from automated modeling software to prefabricated data models — fit nicely into today’s quick-paced business environment and certainly get the job done faster than purely manual efforts, experts say that data modeling projects often suffer because the tools pay too little attention to details and the specific needs of individual organizations.
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