Rethinking data warehousing: Why redefinition is necessary even beyond Modern Data Warehouse (MDW) and Lakehouse Models
Okay, I used “Redefined” again — I did already in my article about the need to redefine data engineering. Oh my god, what else does he want to redefine, you might ask.
Well, I think there are quite a few things in today‘s data architecture that deserve a closer look. But the motivation to critically examine the current definition of the data warehouse goes back to a question from one of my readers.
I wrote a three-part series on the challenges and solutions in data mesh. The adapted data mesh as described in the articles, serves as a replacement architecture for data collection approaches like the data warehouse (traditional, modern, and variations like data lake/lakehouse). However, I emphasized that we still need the data warehouse as one among many applications contributing information to the data mesh.
