Do you know who truly wins in the data platform battles?
That's right—we, as customers.
Having designed and worked on both small and large data platforms with my teams, I've noticed a common challenge in today's landscape: the overwhelming options available to us.
From Databricks to Snowflake, AWS/Azure/GCP offerings like Spark, Synapse, BigQuery, and more, every conversation seems to start with a cloud of confusion.
With so many choices, it can feel like navigating a maze. The real question is, how do you cut through the noise?
At a macro level, there are three key goals that should guide every decision:
Source of Truth --> Data Platform --> End User
But how do you achieve these?
Every smart architect knows that SIMPLICITY is the key.
Why overcomplicate when clarity and simplicity can drive more effective results?
Let's focus on creating platforms that make data accessible, actionable, and understandable for everyone.
What are your thoughts on keeping data platforms simple?
I'd love to hear your experiences and insights! 👇
#data #engineering #databricks #snowflake