Summary
Five years of hosting the Data Engineering Podcast has provided Tobias Macey with a wealth of insight into the work of building and operating data systems at a variety of scales and for myriad purposes. In order to condense that acquired knowledge into a format that is useful to everyone Scott Hirleman turns the tables in this episode and asks Tobias about the tactical and strategic aspects of his experiences applying those lessons to the work of building a data platform from scratch.
Announcements
Hello and welcome to the Data Engineering Podcast, the show about modern data management
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Your host is Tobias Macey and today I'm being interviewed by Scott Hirleman about my work on the podcasts and my experience building a data platform
Interview
Introduction
How did you get involved in the area of data management?
Data platform building journey
Why are you building, who are the users/use cases
How to focus on doing what matters over cool tools
How to build a good UX
Anything surprising or did you discover anything you didn't expect at the start
How to build so it's modular and can be improved in the future
General build vs buy and vendor selection process
Obviously have a good BS detector - how can others build theirs
So many tools, where do you start - capability need, vendor suite offering, etc.
Anything surprising in doing much of this at once
How do you think about TCO in build versus buy
Any advice
Guest call out
Be brave, believe you are good enough to be on the show
Look at past episodes and don't pitch the same as what's been on recently
And vendors, be smart, work with your customers to come up with a good pitch for them as guests...
Tobias' a