The evolution of the data engineer role
As someone who knows nothing about this stuff, I&#x27;m looking at the &quot;Data Mart&quot; wiki page: <a href="https:&#x2F;&#x2F;en.wikipedia.org&#x2F;wiki&#x2F;Data_mart" rel="nofollow">https:&#x2F;&#x2F;en.wikipedia.org&#x2F;wiki&#x2F;Data_mart</a>. Ok, so the entire diagram here is labelled &quot;Data Warehouse&quot;, and within that there&#x27;s a &quot;Data Warehouse&quot; block which seems to be solely comprised of a &quot;Data Vault&quot;. Do you need a special data key to get into the data vault in the data warehouse? Okay, naturally the data marts are divided into normal marts and strategic marts - seems smart. But all the arrows between everything are labelled &quot;ETL&quot;. Seems redundant. What does it mean anyway? Ok apparently it&#x27;s just... moving data.<p>Now I look at <a href="https:&#x2F;&#x2F;en.wikipedia.org&#x2F;wiki&#x2F;Online_analytical_processing" rel="nofollow">https:&#x2F;&#x2F;en.wikipedia.org&#x2F;wiki&#x2F;Online_analytical_processing</a>. What&#x27;s that? First sentence: &quot;is an approach to answer multi-dimensional analytical (MDA)&quot;. I click through to <a href="https:&#x2F;&#x2F;en.wikipedia.org&#x2F;wiki&#x2F;Multidimensional_analysis" rel="nofollow">https:&#x2F;&#x2F;en.wikipedia.org&#x2F;wiki&#x2F;Multidimensional_analysis</a> ... MDA &quot;is a data analysis process that groups data into two categories: data dimensions and measurements&quot;. What the fuck? Who wrote this? Alright, back on the OLAP wiki page... &quot;The measures are placed at the intersections of the hypercube, which is spanned by the dimensions as a vector space.&quot; Ah yes, the intersections... why not keep math out of it if you have no idea how to talk about it? Also, there&#x27;s no actual mention of why this is considered &quot;online&quot; in the first place. I feel like I&#x27;m in a nightmare where the pandas documentation was rewritten in MBA-speak.