Episodes
Key points:
Thus far, most of the generative AI stuff Zhamak has seen is not that much of a differentiator. They are doing far better chat bots but that hasn't really changed the game.When it comes to any ML work - and GenAI is just a subset of ML work - engineers need data products to make their data work easy. Reliable sources of data, ability to version, etc. Data mesh obviously plays well there.Relatedly, we need to continue to make things easier for people to leverage data products for...
Published 01/12/24
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Published 01/08/24
Quick Summary Points
Talk to the business strategy importance - data is there to make things better for the business. What could being better informed mean for your execs?When people ask about the strategy, that is when you can mention data mesh. It isn't about doing data mesh but you also aren't inventing this whole-cloth. 100s to 1000s of organizations are already on the journey. But data mesh is not some magic phrase, it is merely a framing for doing data better at scale.Think of the first...
Published 01/05/24
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Published 01/01/24
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If...
Published 12/31/23
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Published 12/29/23
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Transcript for this episode (link) provided by...
Published 12/25/23
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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.
If...
Published 12/24/23
Key Points:
We need API-first technologies in data. Not just offering APIs but being able to integrate seamlessly with each other via API. We have that in software but it's been a long-time coming in data. If we want an actual modern data stack, we need to have tooling providers make a real change.Simple made easy: we need to make things simple for data product development and consumption. It's not simplistic but it removes unnecessary complexities.Overall, there is such a trend in data where...
Published 12/22/23
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Published 12/18/23
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If...
Published 12/17/23
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If you want to learn...
Published 12/15/23
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Published 12/11/23
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If...
Published 12/10/23
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Published 12/08/23
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Provided as a free resource by Data Mesh Understanding. Get in touch with Scott on LinkedIn.
Transcript for this episode (link) provided by...
Published 12/04/23
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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.
If...
Published 12/03/23
Key Points:
The rush to categorize all of our tooling in data has caused many issues - we will see a big shake-up coming in the future much like happened in application development tooling.So much of data people's time is spent on things that don't add value themselves, it's work that should be automated. We need to fix that so the data work is about delivering value.We can learn a lot from virtualization but data virtualization is not where things should go in general.Containerization is...
Published 12/01/23
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Transcript for this episode (link) provided by...
Published 11/27/23
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If...
Published 11/26/23
Important points:
There are places where nuance adds value. Many times, explicit definitions around data aspects like quality or even SRE metrics like uptime and query performance are not one.Provide a simple way for producers to apply these scalable approaches - the platform should measure data quality metrics for example.Data producers are having a hard enough time in general learning how to leverage data better. Find places to make it about learning about the information encapsulated in...
Published 11/24/23
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Published 11/20/23
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If...
Published 11/19/23
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Published 11/17/23
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Transcript for...
Published 11/13/23