Rather than try to do a full intro to each episode, I recommend listening to all of them 😅 but potentially look to ones that interest you in topics. For example, Episodes 4-7 are one recording, 8-12 were the next recording, 13-16, 17-19.5, 20-25, and so on.

#118 – Zhamak’s Corner 1 – Is Data Mesh Right For You?

#121 – Zhamak’s Corner 2 – Are You Ready for Data Mesh?

#125 Zhamak’s Corner 3 – How Should You Choose Your Initial Use Case(s)?

#132 Zhamak’s Corner 4 – The World Is Changing, Are You Accounting for That?

#134 Zhamak’s Corner 5 – From Pipeline to Product, a Crucial Evolution in Data and Data Tooling

#140 Zhamak’s Corner 6 – Bypassing the Binary and Crucial Learnings from the Operational World

#144 Zhamak’s Corner 7 – Oh, The Places You’ll Go! How Can Imagination Lead Us Forward in Data

#152 Zhamak’s Corner 8 – Are We Using Tech Gold as a Paperweight?

#156 Zhamak’s Corner 9 – A Vision of the Data Product Developer Role in Data Mesh

#158 Zhamak’s Corner 10 – Blazing Trails not Blazing Saddles – Setting Yourself Up For Success

#164 Zhamak’s Corner 11 – Thinning the Veil Between the Data and Operational Universes

#168 Zhamak’s Corner 12 – Your Data Is NOT a Cake – The Dangers of Layers

#173 Zhamak’s Corner 13 – Preventing Unnecessary Data Movement – In Spirit and in Reality

#177 Zhamak’s Corner 14 – The Data Can’t Protect Itself

#182 Zhamak’s Corner 15 – A Post Pipeline World? How to Build Data Products – and a Product Creation Ecosystem – That Inherently Create Trust

#186 Zhamak’s Corner 16 – An Interpretation of Zhamak’s Call-to-Action

#191 Zhamak’s Corner 17 – AI/ML’s Place in Data Mesh

#195 Zhamak’s Corner 18 – Fixing Unnecessary Complications in Serving Data to AI/ML

#200 Zhamak’s Corner 19 – An AI/ML Future Without So Much (Needless?) Complexity

{Bonus} Zhamak’s Corner 19.5 – How Does AI/ML Change When Trust is Automatic

#207 Zhamak’s Corner 20 – Crossing the Data Value Chasm

#213 Zhamak’s Corner 21 – Reinventing Data Development, Not Data Processing and Storage

#219 Zhamak’s Corner 22 – Increasing Resilience of Data Processes Through Software Best Practices

#225 Zhamak’s Corner 23 – Driving to Resilient Data Value Now and in the Future

#231 Zhamak’s Corner 24 – Can We Change Mistakes to “Happy Little Accidents” in Data?

#237 Zhamak’s Corner 25 – We Don’t Have to Jerk the Wheel – Making Smaller Correction Decisions to Get to Our Data Destination