#75 Let's Get Intentional With Data: DDD for Data, Hyper Objects and More - Interview w/ João Rosa
Data Mesh Radio - A podcast by Data as a Product Podcast Network
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Sign up for Data Mesh Understanding's free roundtable and introduction programs here: https://landing.datameshunderstanding.com/Please Rate and Review us on your podcast app of choice!If you want to be a guest or give feedback (suggestions for topics, comments, etc.), please see hereEpisode list and links to all available episode transcripts here.Provided as a free resource by Data Mesh Understanding / Scott Hirleman. Get in touch with Scott on LinkedIn if you want to chat data mesh.Transcript for this episode (link) provided by Starburst. See their Data Mesh Summit recordings here and their great data mesh resource center here.João's Twitter: @joaoasrosa / https://twitter.com/joaoasrosaJoão's personal space: https://www.joarosa.ioKent Beck talk at DDD Europe 2020: https://www.youtube.com/watch?v=3gib0hKYjB0Timothy Burton book on Hyper Objects: https://www.upress.umn.edu/book-division/books/hyperobjectsIn this episode, Scott interviewed João Rosa, Principal Consultant at Xebia. They discussed domain driven design for data, the importance of intentionality in preventing chaos, being effective instead of efficient, and the concept of a hyper object.To start at the end, João talked about the need to embrace complexity when dealing with software - and we need to treat data and analytics as a software process. If we try to abstract away the complexity, we lose the nuance and that nuance is what can make all the difference in terms of the value of your data. Software is not like manufacturing where complexity is very costly.This was a pretty broad-ranging conversation starting with Domain Driven Design - or DDD - for data. João believes we should apply the principles of DDD to everything controlled by software - and when thinking of data as a product, data is definitely controlled by software. One of the big challenges with bringing something like DDD to data is that there aren't tools - and most challenges in the data space have historically been addressed with a tool-first approach. There is a desire to move quickly and just solve challenges but it's not possible to do that with DDD in João's view. A very interesting point of view João has is developing software is a learning process and working software is a consequence of that learning. With the move to cloud and the easy consumption of new tools, creating data is very easy. But João believes that in an enterprise, there needs to be very clear boundaries and contracts between domains to prevent overlap and confusion. The conversations between teams are hard because all of them are...