Hi everyone,
I just had a job interview for an Analytics Engineer role. The role is intended to help migrate the company's Azure based databases and custom solutions to Fabric, to decentralize the data through domain based architecture and data mesh principles, and to reduce the bottlenecks on their data team.
In the interview the hiring manager (who was their director of analytics) believed that Fabric wasn't 100% ready for complete buy-in with enterprise level analytics, and that for it to get there it needed some key features. He didn't elaborate on the specifics, but I'm struggling to see what these might be.
As I've been learning the Fabric software, I'm struggling to find what specific parts of Fabric it's missing that would really make it unfeasible for complete buy-in. Using both a Fabric setup AND a separate Azure based setup / custom solution seems like it would create data fragmentation problems, and create more problems than it solves.
I would like to put it to you: Do you think Microsoft Fabric is missing key features that make it practical for companies? Or are the 'workarounds' sufficient?