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Data Matas

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by Meltano

23 episodes
Updated Bi-weekly
Accepts GuestsHas Sponsors
4

Podcast Authority

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Podcast Overview

A show to explore all data matters. From small to big, every company on the market, irrespective of their industry, is a data merchant. How they choose to keep, interrogate and understand their data is now mission critical. 30 years of spaghetti-tech, data tech debt, or rapid growth challenges are the reality in most companies. Join Aaron Phethean, veteran intrapreneur-come-entrepreneur with hundreds of lived examples of wins and losses in the data space, as he embarques on a journey of discovering what matters most in data nowadays by speaking to other technologists and business leaders who tackle their own data challenges every day. Learn from their mistakes and be inspired by their stories of how they've made their data make sense and work for them. This podcast brought to you by Meltano - "Unlock the Insights in your Data"

Language

🇺🇲

Publishing Since

8/20/2024

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4

Podcast Authority

Beta
PoorBased on show quality, social media presence, reviews, charts, and more
Pod Engine
Quality9
Social0
YouTube0
Engagement0
Learn more
6
Excellent Areas
0
Good Performance
13
Growth Opportunities
excellent
Episode Length
37 minutes
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needs improvement
Publishing Consistency
Every 21 days

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Recent Episodes

Episode thumbnail for S4E2 - Will AI Replace Data Engineers? Dashboards, Semantic Layers & What Dies Next

May 19, 2026

S4E2 - Will AI Replace Data Engineers? Dashboards, Semantic Layers & What Dies Next

<p>"AI won't replace data engineers. But engineers using AI will."</p><p>In Season 4, Episode 2, we sit down with Julian [add last name + role] to unpack what's actually changing in data engineering — and what's about to disappear.</p><p>We get into:</p><p>→ Why dashboards as we know them are dying (and what replaces them) → Does AI really need a semantic layer? Julian's answer might surprise you → The low-code trap quietly racking up tech debt across data teams → Where AI is genuinely useful today: tech debt, testing, and data governance → The one skill that still matters most when AI can write the code → A spicy closing question for the next guest about cloud cost</p><p>⏱ Chapters 00:00 — Intro 01:30 — Julian's path into data 04:00 — The career pivot that changed everything 07:30 — How his team is adopting AI (and who resists) 10:00 — Does AI need a semantic layer? 13:00 — Local models are closer than you think 15:30 — Where AI is actually working: tech debt, tests, governance 19:00 — What the data industry is getting completely wrong 23:00 — The belief Julian held 3 years ago that's now wrong 26:00 — A question for the next guest</p>

Episode thumbnail for S4E1 - Why AI Breaks Without a Semantic Layer.

May 7, 2026

S4E1 - Why AI Breaks Without a Semantic Layer.

<p>Season four, episode one of the Data Matas Podcast.</p><p>Aaron Phethean sits down with Kevin Sampson, the first data hire at Vertex Service Partners, who joins us after four and a half years at Amazon. The conversation is about what it actually takes to build a data and analytics platform from zero.</p><p>We cover dashboard sprawl at Amazon, the gap between insights and answers, why "confidently wrong" is the worst failure mode an LLM can have inside a real business, and a hot take on whether AI even needs a semantic layer anymore.</p><p>This is the first episode of our new format. Every guest faces a hot take. One question they have never heard before, designed to challenge how they think on the spot.</p><p><br></p>

Episode thumbnail for S3E7 - Building High-Performance Data Teams Starts With People, Not Tools

February 12, 2026

S3E7 - Building High-Performance Data Teams Starts With People, Not Tools

<p><strong>Data Engineering as a Team Sport: Coaching, Accountability, and Pragmatism</strong></p><p>In this episode, <strong>Sam Wrench</strong>, Lead at <strong>Reality Mine</strong>, joins us to explore what actually makes data teams perform at a high level.</p><p>We cover:</p><p>Why data engineering breaks down when teams optimise for tools instead of people<br> How coaching principles translate directly from elite sport to data leadership<br> Why dogfooding your own data creates faster feedback loops and better quality<br> How to think about AI as a managed colleague, not an autopilot<br> Why pragmatic, security-first tooling often beats chasing industry hype</p><p>This is a grounded conversation for anyone building data platforms that real teams and real decisions depend on.</p>

23 total episodes available

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What is Data Matas?

A show to explore all data matters.

From small to big, every company on the market, irrespective of their industry, is a data merchant. How they choose to keep, interrogate and understand their data is now mission critical. 30 years of spaghetti-tech, data tech debt, or rapid growth challenges are the reality in most companies.

Join Aaron Phethean, veteran intrapreneur-come-entrepreneur with hundreds of lived examples of wins and losses in the data space, as he embarques on a journey of discovering what matters most in data nowadays by speaking to other technologists and business leaders who tackle their own data challenges every day.

Learn from their mistakes and be inspired by their stories of how they've made their data make sense and work for them.

This podcast brought to you by Meltano - "Unlock the Insights in your Data"

How often does this podcast release new episodes?

This podcast updates bi-weekly.

Where can I listen to this podcast?

This podcast is available on 4 platforms including Apple Podcasts, Spotify, and more. You can also use the RSS feed directly.

Does this podcast accept guests?

Information about guest appearances is not available.

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