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#210 Organizational Scalability in Data Mesh - Interview w/ Chris Haas
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 here
Episode list and links to all available episode transcripts (most interviews from #32 on) 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. You can download their Data Mesh for Dummies e-book (info gated) here.
Chris' LinkedIn: https://www.linkedin.com/in/christopher-andr%C3%A9-haas/
Article on Lean Value Tree: https://rolandbutler.medium.com/what-is-the-lean-value-tree-e90d06328f09
In this episode, Scott interviewed Chris Haas, Advisory Consultant at Thoughtworks. To be clear, he was only representing his own views on the episode.
Some key takeaways/thoughts from Chris' point of view:
- When starting a data mesh journey, you have to find teams that are actually willing to participate. If they won't truly take ownership of their data, it's essentially a non-starter. You can help convince many domains by showing them the investment you'll put into their teams on upskilling and other capabilities enhancements - it's not just new responsibilities and work.
- In data mesh, look to drive domain-wide understanding and buy-in, at least to the vision of what a more data capable domain means, the benefits to the domain. Not everyone will or has to care about data mesh specifically but you shouldn't have data mesh by decree from upper management.
- Consider lean value tree mapping - it helps everyone align on a single mission with goals to support the mission, what bets you have to make for each goal, and on down. It can help you stay focused on what are you trying to achieve.
- For use case prioritization within a domain, look to 1) what are the business goals, 2) what use case will have the highest value, and 3) what is the easiest to execute on. Don't get overly focused on value if you aren't ready to actually deliver it....
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By Data as a Product Podcast Network
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99 ratings
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 here
Episode list and links to all available episode transcripts (most interviews from #32 on) 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. You can download their Data Mesh for Dummies e-book (info gated) here.
Chris' LinkedIn: https://www.linkedin.com/in/christopher-andr%C3%A9-haas/
Article on Lean Value Tree: https://rolandbutler.medium.com/what-is-the-lean-value-tree-e90d06328f09
In this episode, Scott interviewed Chris Haas, Advisory Consultant at Thoughtworks. To be clear, he was only representing his own views on the episode.
Some key takeaways/thoughts from Chris' point of view:
- When starting a data mesh journey, you have to find teams that are actually willing to participate. If they won't truly take ownership of their data, it's essentially a non-starter. You can help convince many domains by showing them the investment you'll put into their teams on upskilling and other capabilities enhancements - it's not just new responsibilities and work.
- In data mesh, look to drive domain-wide understanding and buy-in, at least to the vision of what a more data capable domain means, the benefits to the domain. Not everyone will or has to care about data mesh specifically but you shouldn't have data mesh by decree from upper management.
- Consider lean value tree mapping - it helps everyone align on a single mission with goals to support the mission, what bets you have to make for each goal, and on down. It can help you stay focused on what are you trying to achieve.
- For use case prioritization within a domain, look to 1) what are the business goals, 2) what use case will have the highest value, and 3) what is the easiest to execute on. Don't get overly focused on value if you aren't ready to actually deliver it....