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Data Matas

Podcast door Meltano

Engels

Business

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Over 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"

Alle afleveringen

23 afleveringen

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

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

"AI won't replace data engineers. But engineers using AI will." 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. We get into: → 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 ⏱ 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

19 mei 2026 - 29 min
aflevering S3E6 - Analytics Engineering: Internal Risk vs. External Rigor artwork

S3E6 - Analytics Engineering: Internal Risk vs. External Rigor

Analytics Engineering: Internal Risk vs. External Rigor | Ft. Jack Doherty (Fresha) The stakes are higher than ever for Analytics Engineers. When your data becomes a core, customer-facing product, the game changes. Jack Doherty (Head of AE, Fresha) discusses the massive difference between internal and external analytics: Risk vs. Rigor: Why internal projects can move fast (risk), but product-facing data demands DevOps-level rigor, testing, and governance. Real-Time Data: The technical shift from scheduled batches to CDC for meeting customer demands for speed and consistency. The Missing Link: Why the Semantic Layer is the future of AE, crucial for codifying business logic and powering accurate AI/Chat interfaces. A must-watch for any AE treating data as a product.

15 jan 2026 - 39 min
aflevering S3E5 - Building Data Platforms That Actually Solve Business Problems artwork

S3E5 - Building Data Platforms That Actually Solve Business Problems

Stop Coding, Start Diagramming: How to Build Data Platforms That Deliver If you're rushing to hire a data engineer before you have a clear business question, you’re doing it backwards. I'm joined by Teddy Bernays (Freelance Data Engineer) to unpack his "business first" approach. Teddy shares his journey and explains why simplicity and a solid plan always beat the latest tech stack. His top advice: "Find the problem you want to solve first. Is data the answer? Only then should you start building." In this episode, we cover:  ▶️ Why you should hire a Data Analyst before a Data Engineer  ▶️ The "Diagram First" rule for technical projects  ▶️ How to escape the painful world of legacy spreadsheets  ▶️ Finding freelance clients in the real world (get off LinkedIn!)  ▶️ Using AI to finally solve your documentation problems

19 dec 2025 - 43 min
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