“You have to keep in mind that, if you’re connecting different solutions to your databases, that means you might be opening up your databases,” she added.Īlso, there can be some pretty stark tech-cultural lines. Key considerations revolve around an organization’s tech stack and data security. “It’s a question of the right tools for the right situation,” Vovchenko said. The question of which data modeling tools to consider is contextual. Of course, tools come into play at the next step of the process, but the low-tech approach speaks to the core essence of data modeling - plotting and illustrating the relationship between various entities, whether that’s inside an application database or within a data warehouse architecture.
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