Growing Data Infrastructure Complexities: Cost Implications and the Way Forwardby@scribbledata
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Growing Data Infrastructure Complexities: Cost Implications and the Way Forward

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Understanding the current data infrastructure landscape would be impossible without diving deeper into its journey from traditional databases to the Modern Data Stack (MDS) as it exists today, as well as the challenges, complexities, and rapid changes along the way.  In this article, we look at how MDS came into being, and how it’s challenging to scale–with cognitive overload, steep learning curve, and high burnout it causes among data teams. We also look at how this is leading to the consolidation of tools and platforms, simpler platform developments, as well as newer methodologies that are more focused on building trust, tying to outcomes, and simply drowning out the noise created due to the barrage of tools getting introduced every day.

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