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#262 Setting the Groundwork to Become Data Driven - Interview w/ Corrin Shlomo Goldenberg
Please Rate and Review us on your podcast app of choice!
Get involved with Data Mesh Understanding's free community roundtables and introductions: https://landing.datameshunderstanding.com/
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 here.
Provided as a free resource by Data Mesh Understanding. 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.
Corrin's LinkedIn: https://www.linkedin.com/in/corrin/
In this episode, Scott interviewed Corrin Shlomo Goldenberg, Senior Product Manager of the Data Platform at BigPanda.
It's important to note that BigPanda is not at the stage yet where data mesh makes sense but this is a story of getting production of data into the heads and hearts of the application development team, which is a crucial aspect to doing data mesh well, whether it's done pre data mesh or as part of the journey.
Some key takeaways/thoughts from Corrin's point of view:
- When doing data work, it's easy to fall into the trap of trying to do everything. Go back to product basics - start from the why, why are you doing this? If not, we just are creating new forms data swamps.
- It's not uncommon for developers to think of data simply as what's in the database, especially in B2B startups. Sometimes you have to work with them to get them to really understand they need to be creating and storing data to be leveraged for analytics. It's not even data exhaust, sometimes the data doesn't even exist!
- Related, many B2B companies feel they aren't data oriented enough. You can work to change that of course but know that almost everyone else feels the same; we all start our data journey somewhere, get inspired to go forward.
- It's hard to pinpoint the time for a growing B2B company when it's actually time to start collecting and analyzing a lot of their data versus when it would be overkill/too early. Scott note: for larger organizations, look to have the conversation early in the lifecycle of any product - build a data sourcing strategy...
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By Data as a Product Podcast Network
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Please Rate and Review us on your podcast app of choice!
Get involved with Data Mesh Understanding's free community roundtables and introductions: https://landing.datameshunderstanding.com/
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 here.
Provided as a free resource by Data Mesh Understanding. 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.
Corrin's LinkedIn: https://www.linkedin.com/in/corrin/
In this episode, Scott interviewed Corrin Shlomo Goldenberg, Senior Product Manager of the Data Platform at BigPanda.
It's important to note that BigPanda is not at the stage yet where data mesh makes sense but this is a story of getting production of data into the heads and hearts of the application development team, which is a crucial aspect to doing data mesh well, whether it's done pre data mesh or as part of the journey.
Some key takeaways/thoughts from Corrin's point of view:
- When doing data work, it's easy to fall into the trap of trying to do everything. Go back to product basics - start from the why, why are you doing this? If not, we just are creating new forms data swamps.
- It's not uncommon for developers to think of data simply as what's in the database, especially in B2B startups. Sometimes you have to work with them to get them to really understand they need to be creating and storing data to be leveraged for analytics. It's not even data exhaust, sometimes the data doesn't even exist!
- Related, many B2B companies feel they aren't data oriented enough. You can work to change that of course but know that almost everyone else feels the same; we all start our data journey somewhere, get inspired to go forward.
- It's hard to pinpoint the time for a growing B2B company when it's actually time to start collecting and analyzing a lot of their data versus when it would be overkill/too early. Scott note: for larger organizations, look to have the conversation early in the lifecycle of any product - build a data sourcing strategy...