Data Mesh Radio

#13 Is There a Data Mesh Option for Startups and SMEs? – Interview w/ Peter Hanssens

{{top-bit}} In this episode, Scott interviews Peter Hanssens, Founder and Solutions Architect at cloud/serverless consulting company Cloud Shuttle. Peter also runs a few large data engineering focused communities (meetups, Slack, conferences) in Australia. Peter had reached out about how can startups and SMEs (small to medium enterprises) get the benefits of data mesh without the …

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#12 Data-Centric Application Development and Data Mesh – Interview w/ Dan DeMers

{{top-bit}} In this episode, Scott interviews Dan DeMers, Co-Founder and CEO of Cinchy, a dataware platform / data fabric provider. Dan shares his thoughts on why data-centric application design is the best way to deal with the challenges of applications and analytics needing the same data for different purposes – the current approach is to …

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#11 The Grinch Who Spoiled Christ-Mesh – 1) Why I Don’t Like Reverse ETL; 2) Dog Fooding; and 3) The Generalist Data Modeler – Mesh Musings #3

{{top-bit}} In this episode, Scott discusses three concepts that are at best a concern. Consider it a late Grinch-inspired present for Xmas 🙂 Reverse ETL meets a real need for analytical data being pushed into CRM, marketing, and other similar systems. But treating another pipeline as a first order concern is fraught with the same …

#11 The Grinch Who Spoiled Christ-Mesh – 1) Why I Don’t Like Reverse ETL; 2) Dog Fooding; and 3) The Generalist Data Modeler – Mesh Musings #3 Read More »

#10 Ensuring Data Quality via Data Testing and Versioning – Interview w/ Jesse Paquette

{{top-bit}} In this episode, Jesse Paquette, Chief Science Officer and Co-founder at Tag.bio – a data platform vendor in the life sciences space, and Scott dive a bit deeper into data quality in general, especially data testing and versioning. You can see the LinkedIn post that sparked this discussion here Jesse recommends a number of …

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#9 Data Contracts Deep Dive – The Pains and the Solution(?) – Interview with Abhi Sivasailam

{{top-bit}} In this episode, Abhi Sivasailam, Head of Growth and Analytics at unicorn startup Flexport, and Scott deep dive into data contracts. They covered a LOT of ground including: What is a data contract and how does it relate to API contracts and schema contracts Why data contracts are so crucial to treating data like …

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#8 Platform Re-use, PoC Advice, and More Data Mesh Nuggets – Interview with Matthew Darwin

{{top-bit}} In this episode, Matthew Darwin, Principal Data Engineer at Slalom Consulting, and Scott cover a wide range of topics including: Re an article Matt had posted on data platform re-use and shifting data ownership left: You can re-use the technologies you already know and love when building a data platform – there is literally …

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#7 Data Schema Contracts – What are they and why they matter – Interview with Olivier Wulveryck, Senior Consultant @ OCTO

{{top-bit}} In this episode, Olivier Wulveryck, Senior Consultant at consulting company OCTO Technology, and Scott discuss all things schema contracts. The episode will probably leave you with more questions than answers at this point as the concept/practice is still emerging. But you will get a good sense for how to do it right – and …

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#6 All About Data Products – Interview with Wannes Rosiers, CTO Golazo Group

{{top-bit}} In this episode, Scott interviews Wannes Rosiers, CTO at Golazo Group, who previously led DPG Media’s data mesh transition. They discussed a lot of different sub-topics around data products in data mesh including: Wannes’ framework re his 3 types of data products The importance of a specific purpose for each data product Data product …

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#5 Data Virtualization and Data Mesh, Spec Data Products, and Can You Keep Your Existing Architecture – Mesh Musings #2

{{top-bit}} Host Scott Hirleman gives some helpful context around 3 separate data mesh topics: Why Data Virtualization is not a good fit for creating and managing your data products in data mesh A reply to a wonderful article by Matthew Darwin (link below) asking if we can keep our existing data platform / architecture and …

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