#20 Domain Driven Design for Data – Where to Start – Interview w/ Piethein Strengholt

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Mentioned articles and books:

Data Management at Scale book: https://www.oreilly.com/library/view/data-management-at/9781492054771/

Data Domains — Where do I start? https://towardsdatascience.com/data-domains-where-do-i-start-a6d52fef95d1

Implementing Data Mesh on Azure: https://towardsdatascience.com/implementing-data-mesh-on-azure-c01ee94306cd

Data Domains and Data Products: https://towardsdatascience.com/data-domains-and-data-products-64cc9d28283e

“The Blue Book” AKA Domain-Driven Design: Tackling Complexity in the Heart of Software: https://www.oreilly.com/library/view/domain-driven-design-tackling/0321125215/

Find Piethein online:

LinkedIn: https://www.linkedin.com/in/pietheinstrengholt/

Twitter: @phstrengholt / https://twitter.com/phstrengholt

Scott interviews Piethein Strengholt, Senior Cloud Solution Architect at Microsoft and author of the O’Reilly book Data Management at Scale.

Piethein shares his tips and tricks for how to approach Domain Driven Design (DDD) for data. There are puts and takes to each approach so unfortunately for those looking for an easy button, there is a lot to consider. When starting, Piethein recommends looking at your applications and deciding if there is a logical mapping to a single domain or if the application is shared across domains. As you learn more about DDD you can start to approach your domains from multiple other angles to find the best solution for your org.

There is a ton of really great advice, too much to sum up well here. Scott highly recommends reading this article on data domains by Piethein before jumping in to the podcast episode.

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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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