When you're juggling cost savings with data processing speed in data architecture, it's like playing a strategic game of chess. You need to think several moves ahead and consider how each piece—the technology, design, scaling, and monitoring—will affect the overall picture for your client. But how do you make sure you're making the right moves? It's all about understanding what your client really needs and finding that sweet spot where efficiency meets economy. How do you tackle this challenge in your projects?
Data Architecture’s Post
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