Data Mesh Radio

Technology Podcasts

Interviews with data mesh practitioners, deep dives/how-tos, anti-patterns, panels, chats (not debates) with skeptics, "mesh musings", and so much more. Host Scott Hirleman (founder of the Data Mesh Learning Community) shares his learnings - and those of the broader data community - from over a year of deep diving into data mesh. Each episode contains a BLUF - bottom line, up front - so you can quickly absorb a few key takeaways and also decide if an episode will be useful to you - nothing worse than listening for 20+ minutes before figuring out if a podcast episode is going to be interesting and/or incremental ;) Hoping to provide quality transcripts in the future - if you want to help, please reach out! Data Mesh Radio is also looking for guests to share their experience with data mesh! Even if that experience is 'I am confused, let's chat about' some specific topic. Yes, that could be you! You can check out our guest and feedback FAQ, including how to submit your name to be a guest and how to submit feedback - including anonymously if you want - here: https://docs.google.com/document/d/1dDdb1mEhmcYqx3xYAvPuM1FZMuGiCszyY9x8X250KuQ/edit?usp=sharing Data Mesh Radio is committed to diversity and inclusion. This includes in our guests and guest hosts. If you are part of a minoritized group, please see this as an open invitation to being a guest, so please hit the link above. If you are looking for additional useful information on data mesh, we recommend the community resources from Data Mesh Learning. All are vendor independent. https://datameshlearning.com/community/ You should also follow Zhamak Dehghani (founder of the data mesh concept); she posts a lot of great things on LinkedIn and has a wonderful data mesh book through O'Reilly. Plus, she's just a nice person: https://www.linkedin.com/in/zhamak-dehghani/detail/recent-activity/shares/ Data Mesh Radio is provided as a free community resource by DataStax. If you need a database that is easy to scale - read: serverless - but also easy to develop for - many APIs including gRPC, REST, JSON, GraphQL, etc. all of which are OSS under the Stargate project - check out DataStax's AstraDB service :) Built on Apache Cassandra, AstraDB is very performant and oh yeah, is also multi-region/multi-cloud so you can focus on scaling your company, not your database. There's a free forever tier for poking around/home projects and you can also use code DAAP500 for a $500 free credit (apply under payment options): https://www.datastax.com/products/datastax-astra?utm_source=DataMeshRadio

Location:

United States

Genres:

Technology Podcasts

Description:

Interviews with data mesh practitioners, deep dives/how-tos, anti-patterns, panels, chats (not debates) with skeptics, "mesh musings", and so much more. Host Scott Hirleman (founder of the Data Mesh Learning Community) shares his learnings - and those of the broader data community - from over a year of deep diving into data mesh. Each episode contains a BLUF - bottom line, up front - so you can quickly absorb a few key takeaways and also decide if an episode will be useful to you - nothing worse than listening for 20+ minutes before figuring out if a podcast episode is going to be interesting and/or incremental ;) Hoping to provide quality transcripts in the future - if you want to help, please reach out! Data Mesh Radio is also looking for guests to share their experience with data mesh! Even if that experience is 'I am confused, let's chat about' some specific topic. Yes, that could be you! You can check out our guest and feedback FAQ, including how to submit your name to be a guest and how to submit feedback - including anonymously if you want - here: https://docs.google.com/document/d/1dDdb1mEhmcYqx3xYAvPuM1FZMuGiCszyY9x8X250KuQ/edit?usp=sharing Data Mesh Radio is committed to diversity and inclusion. This includes in our guests and guest hosts. If you are part of a minoritized group, please see this as an open invitation to being a guest, so please hit the link above. If you are looking for additional useful information on data mesh, we recommend the community resources from Data Mesh Learning. All are vendor independent. https://datameshlearning.com/community/ You should also follow Zhamak Dehghani (founder of the data mesh concept); she posts a lot of great things on LinkedIn and has a wonderful data mesh book through O'Reilly. Plus, she's just a nice person: https://www.linkedin.com/in/zhamak-dehghani/detail/recent-activity/shares/ Data Mesh Radio is provided as a free community resource by DataStax. If you need a database that is easy to scale - read: serverless - but also easy to develop for - many APIs including gRPC, REST, JSON, GraphQL, etc. all of which are OSS under the Stargate project - check out DataStax's AstraDB service :) Built on Apache Cassandra, AstraDB is very performant and oh yeah, is also multi-region/multi-cloud so you can focus on scaling your company, not your database. There's a free forever tier for poking around/home projects and you can also use code DAAP500 for a $500 free credit (apply under payment options): https://www.datastax.com/products/datastax-astra?utm_source=DataMeshRadio

Twitter:

@datameshradio

Language:

English

Website:

https://daappod.com/data-mesh-radio/

Episodes

#303 Delivering What Matters - Value - Through Strong Business Collaboration - Interview w/ Saba Ishaq

5/5/2024

Duration:01:10:37

No Episode This Week

4/28/2024

Craziness of the overseas move (including a faulty office chair... long story) are to blame. Back to the normally scheduled one episode a week next week! Episode list and links to all available episode transcripts here.

Duration:00:01:31

#302 Finding and Delivering on a Good Initial Data Mesh Use Case - Interview w/ Basten Carmio

4/21/2024

Duration:01:11:47

#301 Learnings From 25+ Years in Data Quality - Interview w/ Olga Maydanchik

4/14/2024

Duration:01:01:57

#300 Panel: How to Treat Your Data Platform as a Product - Led by Michael Toland w/ Sadie Martin, Marta Diaz, and Sean Gustafson

4/7/2024

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. Transcript for this episode (link) provided by Starburst. You can download their Data Products for Dummies e-book (info-gated) here and their Data Mesh for Dummies e-book (info gated) here. Michael's LinkedIn: https://www.linkedin.com/in/mjtoland/ Marta's LinkedIn: https://www.linkedin.com/in/diazmarta/ Sadie's LinkedIn: https://www.linkedin.com/in/sadie-martin-06404125/ Sean's LinkedIn: https://www.linkedin.com/in/seangustafson/ The Magic of Platforms by Gregor Hohpe: https://platformengineering.org/talks-library/the-magic-of-platforms Start with why -- how great leaders inspire action | Simon Sinek: https://www.youtube.com/watch?v=u4ZoJKF_VuA In this episode, guest host Michael Toland Senior Product Manager at Pathfinder Product Labs/Testdouble and host of the upcoming Data Product Management in Action Podcast facilitated a discussion with Sadie Martin, Product Manager at Fivetran (guest of episode #64), Sean Gustafson, Director of Engineering - Data Platform at Delivery Hero (guest of episode #274), and Marta Diaz, Product Manager Data Platform at Adevinta Spain. As per usual, all guests were only reflecting their own views. The topic for this panel was how to treat your data platform as a product. While many people in the data space are talking about data products, not nearly as many are treating the platform used for creating and managing those data products as a product itself. This is about moving beyond the IT services model for your data work. Platforms have life-cycles and need product management principles too! Also, in data mesh, it is crucial to understand that 'platform' can be plural, it doesn't have to be one monolithic platform, users don't care. Scott note: As per usual, I...

Duration:01:03:01

#299 Empowering Development with Actionable Data - Interview w/ Carol Assis and Eduardo Santos

3/31/2024

Duration:01:13:01

#298 Effective Partnering With Business Execs - Learnings from Another Data Mesh Journey - Interview w/ Jessika Milhomem

3/24/2024

Duration:01:07:39

#297 Panel: Understanding and Leveraging the Data Value Chain - Led by Marisa Fish w/ Tina Albrecht, Karolina Stosio, and Kinda El Maarry, PhD

3/17/2024

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. Transcript for this episode (link) provided by Starburst. You can download their Data Products for Dummies e-book (info-gated) here and their Data Mesh for Dummies e-book (info gated) here. Marisa's LinkedIn: https://www.linkedin.com/in/marisafish/ Karolina's LinkedIn: https://www.linkedin.com/in/karolinastosio/ Tina's LinkedIn: https://www.linkedin.com/in/christina-albrecht-69a6833a/ Kinda's LinkedIn: https://www.linkedin.com/in/kindamaarry/ In this episode, guest host Marisa Fish (guest of episode #115), Senior Technical Architect at Salesforce facilitated a discussion with Kinda El Maarry, PhD, Director of Data Governance and Business Intelligence at Prima (guest of episode #246), Tina Albrecht, Senior Director Transformation at Exxeta (guest of episode #228), and Karolina Stosio, Senior Project Manager of AI at Munich Re. As per usual, all guests were only reflecting their own views. The topic for this panel was understanding and leveraging the data value chain. This is a complicated but crucial topic as so many companies struggle to understand the collection + storage, processing, and then specifically usage of data to drive value. There is way too much focus on the processing as if upstream of processing isn't a crucial aspect and as if value just happens by creating high-quality data. A note from Marisa: Our panel is comprised of a group of data professionals who study business, architecture, artificial intelligence, and data because we want to know how (direct) data adds value to the development of goods and services within a business; and how (indirect) data enables that development. Most importantly, we want to help stakeholders better understand why data is critical to their organization's business administration strategy and is a keystone in their value chain. Also, we lost Karolina for a bit there towards the end due to a spotty internet connection. Scott note: As per usual, I...

Duration:00:58:10

#296 Patience in Product Thinking in Data - Building to Large-Scale Behavior Change - Interview w/ Darren Wood

3/10/2024

Duration:01:02:58

#295 Data Shouldn't be a Four-Letter Word - Making Data a Forethought - Interview w/ Wendy Turner-Williams

3/3/2024

Duration:01:16:25

#294 Panel: Product Discovery and Data Discoverability in a Data Mesh World - Led by Ecem Biyik w/ Frannie Helforoush, Marta Debska-Barcinska, and Ole Olesen-Bagneux

2/25/2024

Duration:01:03:15

#293 Adapting Product Management to Data - Finding the Customer Pain and the Value - Interview w/ Amritha Arun Babu Mysore

2/18/2024

Duration:01:05:31

#292 Aligning Your Data Transformation to the Business - Interview w/ Nailya Sabirzyanova

2/11/2024

Duration:01:05:30

#291 Panel: Data as a Product in Practice - Led by Jen Tedrow w/ Martina Ivaničová and Xavier Gumara Rigol

2/4/2024

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. Transcript for this episode (link) provided by Starburst. You can download their Data Products for Dummies e-book (info-gated) here and their Data Mesh for Dummies e-book (info gated) here. Jen's LinkedIn: https://www.linkedin.com/in/jentedrow/ Martina's LinkedIn: https://www.linkedin.com/in/martina-ivanicova/ Xavier's LinkedIn: https://www.linkedin.com/in/xgumara/ Xavier's blog post on data as a product versus data products: https://towardsdatascience.com/data-as-a-product-vs-data-products-what-are-the-differences-b43ddbb0f123 Results of Jen's survey 'The State of Data as a Product in the Real World' (NOT info-gated 😎👍): https://pathfinderproduct.com/wp-content/uploads/2023/12/2023-State-of-DaaP-Real-World-Study.pdf?mtm_campaign=daap-study&mtm_source=pp-blog&mtm_content=pdf-daap-study In this episode, guest host Jen Tedrow, Jen Tedrow, Director, Product Management at Pathfinder Product, a Test Double Operation (guest of episode #98) facilitated a discussion with Martina Ivaničová, Data Engineering Manager and Tech Ambassador at Kiwi.com (guest of episode #112), and Xavier Gumara Rigol, Data Engineering Manager at Oda (guest of episode #40). As per usual, all guests were only reflecting their own views. The topic for this panel was data as a product generally and especially how can we actually apply it to data in the real world. This is Scott's #1 most important aspect to get when it comes to doing data - especially data mesh - well. It's the holistic practice of applying product management approaches to data. It ends up shaping all the other data mesh principles and is a much broader topic than data mesh is in his view. But it can...

Duration:01:01:48

#290 Applying Platform Engineering Best Practices to Your Mesh Data Platform - Interview w/ Tom De Wolf

1/28/2024

Duration:01:05:45

#289 Building the Right Foundations for Generative AI - Interview w/ May Xu

1/21/2024

Duration:00:51:26

Major Programming Announcement

1/21/2024

Announcing moving to one episode per week :)

Duration:00:04:25

#288 Panel: Master Data Management in a Data Mesh World - Led by Ole Olesen-Bagneux w/ Liz Henderson, Piethein Strengholt, and Samia Rahman

1/18/2024

IRM UK Conference, March 11-14: https://irmuk.co.uk/dgmdm-2024-2-2/ use code DM10 for a 10% off discount! 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. Transcript for this episode (link) provided by Starburst. You can download their Data Products for Dummies e-book (info-gated) here and their Data Mesh for Dummies e-book (info gated) here. Ole's LinkedIn: https://www.linkedin.com/in/ole-olesen-bagneux-2b73449a/ Piethein's LinkedIn: https://www.linkedin.com/in/pietheinstrengholt/ Samia's LinkedIn: https://www.linkedin.com/in/samia-rahman-b7b65216/ Liz's LinkedIn: https://www.linkedin.com/in/lizhendersondata/ Ole's book The Enterprise Data Catalog: https://www.oreilly.com/library/view/the-enterprise-data/9781492098706/ Piethein's book Data Management at Scale (2nd Edition): https://www.oreilly.com/library/view/data-management-at/9781098138851/ Liz's blog: https://lizhendersondata.wordpress.com/ In this episode, guest host Ole Olesen-Bagneux, Chief Evangelist at Zeenea (guest of episode #82) facilitated a discussion with Piethein Strengholt, CDO at Microsoft Netherlands (guest of episode #20), Liz Henderson AKA The Data Queen, a board advisor, non-executive director, and mentor in digital and data at Capgemini (guest of episode #106), and Samia Rahman, Director of Enterprise Data Strategy, Architecture, and Governance at SeaGen/Pfizer (guest of episode #67). As per usual, all guests were only reflecting their own views. The topic for this panel was modernizing master data management (MDM) and applying that to...

Duration:01:04:59

#287 Driving Data Value Through Creativity, Curiosity, Collaboration, and Communication - Interview w/ Tiankai Feng

1/16/2024

IRM UK Conference, March 11-14: https://irmuk.co.uk/dgmdm-2024-2-2/ use code DM10 for a 10% off discount! 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. Transcript for this episode (link) provided by Starburst. You can download their Data Products for Dummies e-book (info-gated) here and their Data Mesh for Dummies e-book (info gated) here. Learn more about Data Mesh Understanding: https://datameshunderstanding.com/about Data Mesh Radio is hosted by Scott Hirleman. If you want to connect with Scott, reach out to him on LinkedIn: https://www.linkedin.com/in/scotthirleman/ If you want to learn more and/or join the Data Mesh Learning Community, see here: https://datameshlearning.com/community/ If you want to be a guest or give feedback (suggestions for topics, comments, etc.), please see here 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

Duration:00:56:16

#286 Mastering Master Data Management in a Modern World - Interview w/ Sue Geuens

1/14/2024

Duration:00:54:07