The Data Ecosystem: Where do you even start?
How to take that next step in your data knowledge
Read time: 6 minutes
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Data isn’t easy. It’s incredibly complex. What is worse, however, is nobody appreciates how complex it is. Why?
People see 𝐭𝐡𝐞𝐢𝐫 𝐨𝐰𝐧 fragment of the data ecosystem — be it engineering, machine learning, or analytics — and stop there. Their expertise ends and considerations for other related data domains (e.g., Governance, Platform, Security, etc.) are limited.
It is easy to get lost in the Data Ecosystem.
It’s like appreciating a single piece of a puzzle without acknowledging the entire picture.
But it isn’t their fault. It is how we are taught to learn about and succeed in the data industry.
You are expected to be an expert in one thing and own that, then have others take responsibility for the other bits. The problem is that this model relies on strong communication lines with a seamless understanding of how data domains are interconnected, which isn’t a reality.
And this is why data is so hard. And why data is so siloed.
