Data Mesh Radio

Sign up for Data Mesh Understanding's free roundtable and introduction programs here: https://landing.datameshunderstanding.com/

Sponsored by NextData, Zhamak's company that is helping ease data product creation.

For more great content from Zhamak, check out her book on data mesh, a book she collaborated on, her LinkedIn, and her Twitter.

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

Data Mesh Radio episode list and links to all available episode transcripts 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.

If you want to learn more and/or join the Data Mesh Learning Community, see here: https://datameshlearning.com/community/

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

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 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.

If you want to learn more and/or join the Data Mesh Learning Community, see here: https://datameshlearning.com/community/

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

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 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.

Karin's LinkedIn: https://www.linkedin.com/in/karin-hakansson/

In this episode, Scott interviewed Karin Håkansson, Data Governance Lead consulting on a large data mesh implementation. To be clear, Karin was only representing her own views on the episode.

If there is one theme that resonated throughout the conversation, it was have more and deeper conversations with your data governance teams. Don't make assumptions and as a data governance team, don't make decrees - explain what you are trying to accomplish and why. And look to help where possible instead of telling people how to do things.

Some key takeaways/thoughts from Karin's point of view:

1. Data governance teams need to get closer to both data producers and consumers; but when doing that, emphasize it isn't about control or oversight. You are there to help.
2. Data producers and consumers need to share with the governance team about their pains and challenges - the governance team in most orgs is there to help. So get specific about where you need help. Emphasis on specific!
3. To get closer to data producers and/or consumers, identify a few obvious data problem areas and just reach out to those involved/impacted. Focus on asking not telling when digging into the pain points. And involve all stakeholders in assessing potential solutions to get them bought in to the eventual solution.
4. A control-based data governance approach doesn't add value to your data. We need new ways of working in data governance focused on adding value, not adding roadblocks.
5. Data mesh creates an environment where we need to look at things differently. And it provides the excuse to look at them differently too. Challenge your base...

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 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.

If you want to learn more and/or join the Data Mesh Learning Community, see here: https://datameshlearning.com/community/

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

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 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.

Scott's LinkedIn: https://www.linkedin.com/in/scottmztaylor/

Scott's Website: https://www.metametaconsulting.com/

Scott's Book: https://technicspub.com/data-storytelling/ (save 20% off with code DATAWHISPERER)

Scott's YouTube playlist: https://www.youtube.com/playlist?list=PLashWxBySOAOKUtvn2NTBQeENJTLB8NoS

In this episode, Scott interviewed Scott Taylor AKA the Data Whisperer.

From here forwards, "Scott T" will be used to represent Scott Taylor to differentiate from your host. It's also important to note Scott T differentiates 'data management' from 'analytics', so things like data governance and infrastructure fall under data management.

Some key takeaways/thoughts from Scott T's point of view:

1. To actually reliably successfully obtain funding for data management initiatives, you need to articulate the value of the work to the business - why does this matter? Storytelling is key.
2. The quickest way to lose your shot at securing funding for data initiatives is to focus on the how instead of the why. Most execs do not care at all how it gets done. They hired you, the data leader, to handle that.
3. To get funding, focus your messaging on tying your data strategy and proposed data initiatives to the business strategy. Why does this matter - how will this drive the business strategy forward?
4. Be prepared for cynicism from the business side - many...

Sign up for Data Mesh Understanding's free roundtable and introduction programs here: https://landing.datameshunderstanding.com/

Inverse Conway Maneuver Definition: https://www.thoughtworks.com/radar/techniques/inverse-conway-maneuver

Sponsored by NextData, Zhamak's company that is helping ease data product creation.

For more great content from Zhamak, check out her book on data mesh, a book she collaborated on, her LinkedIn, and her Twitter.

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

Data Mesh Radio episode list and links to all available episode transcripts 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.

If you want to learn more and/or join the Data Mesh Learning Community, see here: https://datameshlearning.com/community/

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

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 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.

Glovo's meetup group: https://www.meetup.com/glovo-tech-talks/

Javo's LinkedIn: https://www.linkedin.com/in/javiergrandag/

Javo's Twitter: @JavierGrandaG / https://twitter.com/JavierGrandaG

Pablo's LinkedIn: https://www.linkedin.com/in/pabloginerabad/

In this episode, Scott interviewed Pablo Giner Abad, Global Director of Data and Javier "Javo" Granda, Senior Data Manager at Glovo.

From here forward in this write-up, P&J will refer to Javo and Pablo rather than trying to specifically call out who said which part.

Some key takeaways/thoughts from P&J's point of view:

1. It's okay to not fit the exact or complete picture of data mesh in your early journey. Focus on what matters to your org and implementation and focus on learning over trying to be perfect. Iteration is possible and not too costly with data mesh. That's sort of one of the main points of data mesh.
2. When selecting your first use case, look for high value and low dependencies. The less cross-team coordination work needed to actually get to an initial end data product that has value, the better. And buy-in is much easier if the producers are one of the consumers too :)
3. When starting out, really look at how thin of a slice you can get away with for your MVP. Be prepared to make some hard compromises. Make them with your eyes open. It's tech debt but taken on consciously.
4. Focus on solving your problems of...

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 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.

If you want to learn more and/or join the Data Mesh Learning Community, see here: https://datameshlearning.com/community/

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

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 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.

Darshana's LinkedIn: https://www.linkedin.com/in/darshana-thakker/

In this episode, Scott interviewed Darshana Thakker, Architecture Director at BCG Platinion.

Some key takeaways/thoughts from Darshana's point of view:

1. Data can be the enabler to achieving your business goals but only if you actually tie your data work to your business strategy and goals.
2. Speaking data jargon when talking to the business stakeholders makes it hard to actually communicate. Focus on speaking to business outcomes and business value.
3. When selecting your first use case(s) for data mesh, evaluate domains on four different metrics: business value, capabilities, eagerness, and feasibility. There isn't a golden formula but it's likely some domains/use cases will rise to the top pretty quickly.
4. Look to - as best as you can - quantify the incremental business value from something like data mesh. That can be at the micro level - the single use case - or the macro level. But getting specific instead of "let's be data-driven" will lead to better buy-in and partnering with the business side.
5. You need to prepare to evolve your architecture. You can't have things set in stone. But you also can't just throw things against the wall and see what sticks. You need a balance between overly rigid and overly flexible.
6. If your centralized data function isn't a bottleneck, isn't the cause of your data challenges, data mesh probably isn't right for your organization - or at least it doesn't directly address your challenges. Time between identifying useful data and making it reliably available is a good place to look to measure if the centralized team is your bottleneck.
7. A good buy-in driving...

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 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.

If you want to learn more and/or join the Data Mesh Learning Community, see here: https://datameshlearning.com/community/

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