@DataProductScot

Host @DataMeshRadio; Founder Data Mesh Learning; This is my "Professional" profile Here to engage and learn and promote awesome and diverse voices in data

 Hopefully not the US soon...
datameshlearning.com/
Joined December 2021
  • Tweets66
  • Following19
  • Followers124
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Very excited about @zhamakd announcing @nextdatatec
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Interesting thought in useful thread on product management
Andy Budd@andybudd28 May 2022
Replying to @andybudd
Ultimately I think 80% of Product Manager jobs should be re-titled Project Manager. However this would obviously upset a lot of people. So we find ourself in the situation of having lots of Product Managers working as Project Managers without necessarily realising it.
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Scott Hirleman (Data as a Product) retweeted
Atlan
@AtlanHQ9 May 2022
"I made you a playlist" – is one of the best things someone can tell you. 💙 So... ...we made you a playlist! 🎵 Check out some of our recommended podcasts about data mesh: open.spotify.com/playlist/7o…
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Scott Hirleman (Data as a Product) retweeted
Zhamak Dehghani
@zhamakd22 Apr 2022
Joe Reis and I will have a conversation about data mesh in a few minutes. I’m hoping Joes takes the conversation to the less explored corners of it. Join us here linkedin.com/posts/josephrei… #datamesh

#datamesh #dataengineering #data | Joe Reis | 60 comments

Zhamak Dehghani joins the show to chat about all things Data Mesh, and her new O'Reilly book by the same title. This is a rare opportunity to learn all about Data Mesh from Zhamak in this unscripted...

linkedin.com
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Scott Hirleman (Data as a Product) retweeted
Benn Stancil
@bennstancil16 Mar 2022
i don't know how many people subscribe to things that @compilerqueen and @stkbailey write on their blogs, but i know it's not enough. compilerqueen.substack.com/ stkbailey.substack.com/
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Scott Hirleman (Data as a Product) retweeted
Prukalpa ✨
@prukalpa9 Mar 2022
We have BIG NEWS to share: @AtlanHQ raised a $50M Series B led by @insightpartners, @SalesforceVC, and @Sequoia_India. 🥁🥁🥁 We decided to keep this one real... so here’s exactly how we announced the news internally and our team’s reaction to it. 💙
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Anyone on Android and knows how to get rid of "Home" on your Twitter account? I want my timeline, not a random thing and it's not on my other accounts
Scott Hirleman (Data as a Product) retweeted
Audun F Strand@audunstrand7 Mar 2022
Replying to @gorzan
@gorzan and i talked to @DataProductScot on @DataMeshRadio about the how we are implementing data-mesh at NAV. You should listen to the podcast at daappod.com/data-mesh-radio/
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Scott Hirleman (Data as a Product) retweeted
Lena Hall
@lenadroid3 Mar 2022
If you've had success with getting a company to stop technology services to businesses in Russia, could you let me know? Modern warfare is hugely dependent on logistics and relying on components working in sync, feeding the supply lines.
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Scott Hirleman (Data as a Product) retweeted
DM of Engineering@dmofengineering3 Mar 2022
Tell me your search engine is written by children, without telling me your search engine is written by children
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Scott Hirleman (Data as a Product) retweeted
Thoughtworks@thoughtworks22 Feb 2022
Listen to our head of data & AI @dtsato, @DataProductScot and @al94781 discuss Domain Driven Design for Data on @DataMeshRadio episode. bit.ly/3GVjIpd #datamesh #ddd
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Andrew Jones@andrewrjones21 Feb 2022
Had a great discussion with @DataProductScot on the latest episode of @DataMeshRadio about #DataContracts! I talked about why we're doing it, where we've got to so far and the challenges we've had. Check it out and let us know what you think! 🎙️daappod.com/data-mesh-radio/…
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Scott Hirleman (Data as a Product) retweeted
Starburst@starburstdata3 Feb 2022
This week, Starburst is doing a full takeover of @DataMeshRadio, hosted by @DataProductScot🎙️ In this episode, Scott interviews Starburst Director of Engineering @CTartow to discuss #DataMesh, the modern data stack, and more! Stream the full episode now: bit.ly/35MDDd3
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Might need to call it a night. I just went to record an intro and outro segment with my night guard in... 🤣😅
Scott Hirleman (Data as a Product) retweeted
AAIF Community@mlopscommunity28 Jan 2022
Wondering what @DataProductScot, @Dpbrinkm, and @adzsroka talked about in the most recent meetup? Search no more! Scott covers what is a #datamesh at a high level for those not familiar. Let's discuss the realities and limitations here go.mlops.community/wjePF2!
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Scott Hirleman (Data as a Product) retweeted
Data Mesh Radio@DataMeshRadio26 Jan 2022
We have a ton of awesome guests coming up on Data Mesh Radio but could always use more. Come share your thoughts/concerns in a friendly chat! DMs are open. People from minoritized/underrepresented groups are especially welcome! Ping this account or @DataProductScot w/ questions
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Scott Hirleman (Data as a Product) retweeted
Abhi Sivasailam@_abhisivasailam24 Jan 2022
Another wide-ranging chat with @DataEngPodcast. Similar to the one recently with @DataProductScot, but with some complementary detail (and musings about the entity layer).
DataEngPodcast@DataEngPodcast23 Jan 2022
In this episode Abhi Sivasailam talks about his work at Flexport to design and implement a data mesh solution that relies heavily on data contracts to provide a stable interface that teams can implement for integrating analytical workflows dataengineeringpodcast.com/d…

The Importance Of Data Contracts As The Interface For Data Integration With Abhi Sivasailam

Summary Data platforms are exemplified by a complex set of connections that are subject to a set of…

dataengineeringpodcast.com
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Scott Hirleman (Data as a Product) retweeted
Patrick McKenzie
@patio1113 Jan 2022
I have a funny feeling that the “NFTs will allow you to own your skins across games” crowd would basically nod along to “Yes because the skins are just JSON blobs” and “You know you can do the same thing with medical records; shame nobody has tried yet. (Also just JSON blobs.)”
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Seeing this type of sentiment pretty often in conversations about Airflow. It is starting to feel a bit like Apache Storm in the early days as Spark came on scene. Or maybe even the Hadoop evolution - broad adoption and enabled good things but too much hassle at scale.
Abhi Sivasailam@_abhisivasailam3 Jan 2022
Replying to @raclinton @gunnarmorling @getdbt @AirbyteHQ @open_metadata
Hard to use, hasn't kept up with competitor innovation (e.g. prefect), often superceded by tools built directly on top (e.g. astro), may be outmoded way of thinking about orch (vis-a-vis dagster), and big chunks of use case footprint were carved out by other frameworks (e.g. dbt)
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