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Scott interviews Brian McMillan a former Enterprise Architect who took time off to write a book called 'Building Data Products: Introduction to Data and Analytics Engineering for Non-Programmers'. You can learn more about the book - and get a free copy, see below - here: https://www.minimumviablearchitecture.com/
Brian's book lays out a path for the people who are doing the most with data in domains to elevate their skill sets and produce small-scale data products. They do this through a slow ramp from understanding SQL queries to learning data modeling to learning how to publish their data and use simple orchestration tooling. It isn't magic, it will take time and training, but it means you have more people with strong domain knowledge becoming part of the data and analytics engineering process, sharing their business context in scalable and repeatable ways.
Brian's approach can also be used for a pretty easy path to an exploratory platform. There isn't a lot of pre-build to get going so teams can much more easily test out a hypothesis or two rather than it being a lengthy and costly approval and build cycle. There is also an easy path once someone finds a "there" there, to move it to something far more scalable and reliable in the cloud.
There is a lot from the book and interview that can be adapted to help level up your teams' data literacy.
Data Mesh Radio is hosted by Scott Hirleman. If you want to connect with Scott, reach out to him on LinkedIn: https://www.linkedin.com/in/scotthirleman/
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All music used this episode was found on PixaBay and was created by (including slight edits by Scott Hirleman): Lesfm, MondayHopes, SergeQuadrado, ItsWatR, Lexin_Music, and/or nevesf
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