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Data Talk Episodes

Data Talk is where we slow down and unpack the entire Microsoft data stack — from self-service to enterprise, from Excel users to lakehouse architects.
This is Power BI, Microsoft Fabric, SQL Server, Synapse-DNA lineage, Dataverse, Lakehouse, Warehouse, Real-Time Analytics, semantic models, data governance, DAX patterns, dataflows, pipelines — and the craft of turning raw data into actual intelligence that impacts business decisions.

We talk about how the pieces fit — not just the tool buttons.
Data modelling logic, semantic modeling best practices, enterprise data product thinking, proper star schema design, delta table decisions, Power BI report performance tuning, how to operationalise Fabric workloads, how to treat Power BI as a “first-class” enterprise platform and not a wild west of “dashboard in five minutes” chaos.

We cover governance deeply: capacity planning, workspaces strategy, managed vs unmanaged lakes, sensitivity labels, lineage, data mesh vs data swamp, self-service enablement frameworks, adoption and literacy programs, federated ownership, and the “balance of freedom vs control” that every organisation struggles with.

We also talk human business dynamics — because data is ultimately not a tech project. It is a decision-making multiplier.
We are here to surface the patterns that create trusted, reliable, explainable, well-governed analytic landscapes — not one-off Power BI hero dashboards.

If it moves data, visualises data, secures data, or makes data make sense — it belongs in Data Talk.
Nov. 5, 2025

Stop Writing SQL: Use Copilot Studio for Fabric Data

Your company isn’t blocked by data—it’s blocked by syntax. Copilot Studio turns plain-English questions into governed Fabric queries, so “What was our revenue by quarter?” finally gets an instant, secure answer—no SQL, no tickets, no waiting. It’s not a chatbot; it’s a translation engine that reme…

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Nov. 5, 2025

Why Your Power BI Query is BROKEN: The Hidden Order of Operations

Power BI is lying to you. Those neat, orderly “Applied Steps” you trust are a façade. Power Query is secretly rearranging, deferring, collapsing and sometimes ignoring the way you wrote your transform steps — which is why your filters don’t filter, your merges get weird, and refreshes suddenly go…

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Nov. 4, 2025

Your Fabric Data Model Is Lying To Copilot

Copilot didn’t hallucinate — you hallucinated first. Your schema lied → Fabric believed it → Copilot repeated it with confidence. Bad Bronze → leaky Silver → fake Gold = executive decisions built on fiction. Fix the Medallion discipline + fix the semantic layer — or keep paying for an AI that po…

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Nov. 4, 2025

The Secret to Power BI Project Success: 3 Non-Negotiable Steps

Power BI isn’t failing because of visuals — it’s failing because nobody plans. 60–70% of BI projects become expensive wallpaper. This episode exposes the 3 discipline steps that separate strategic intelligence from dashboard vanity — why most organizations confuse activity for progress, and how to …

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Nov. 3, 2025

Stop Power BI Chaos: Master Hub and Spoke Planning

Power BI Collaboration — from Wild West → Hub-and-Spoke Power BI self-service feels empowering… until every department defines “revenue” differently and no one agrees which dashboard is real. In this episode, we break down why the chaos isn’t a tooling problem — it’s an architecture problem — an…

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Nov. 2, 2025

Dataverse Pitfalls Q&A: Why Your Power Apps Project Is Too Expensive

Dataverse isn’t “included.” It’s a premium, enterprise-grade platform with costs that stack fast: licenses, capacity, environments, storage (db/file/log), and API limits. Most sticker shock comes from assumptions—thinking M365 covers Dataverse, that guests are free, or that storage is cheap. Use…

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Nov. 1, 2025

Stop Wasting Money: The 3 Architectures for Fabric Data Flows Gen 2

Most Microsoft Fabric teams are bleeding money because they treat Dataflows Gen2 like old Power BI ETL. In Fabric, compute—not storage—is the meter, so every redundant refresh spins up clusters, reloads the same sources, and multiplies cost. The fix is architectural, not heroic CSV exports. Ther…

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Nov. 1, 2025

GPT-5 Fixes Fabric Governance: Stop Manual Audits Now!

Fabric didn’t fail at features—it failed at governance cohesion. Data lives in Fabric, security sits in Power BI, labels live in Purview—and they don’t natively reason about each other. That’s why audits devolve into CSV marathons and name-matching nightmares. Enter GPT-5 inside Microsoft 365 Co…

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Oct. 30, 2025

Stop Cleaning Data: The Copilot Fix You Need

Most “analysis” in Excel is disguised janitorial work: inconsistent dates, mixed data types, rogue spaces, and copy-pasted chaos that later poisons Power BI, Power Automate, and Fabric. The fix isn’t heroics—it’s Excel Copilot acting as an AI janitor that understands structure, enforces types, and …

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Oct. 23, 2025

Dataverse vs. SharePoint: The Governance Mistake Costing You Time

SharePoint Lists feel “free” and familiar, so teams prototype apps on them—and then accidentally build departments on sand. As lists multiply, you get broken lookups, 5k-item throttling, rogue permissions, attachment bloat, and schema drift. Governance collapses quietly: no environment isolation, i…

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Oct. 22, 2025

Your Fabric Data Lake Is Too Slow: The NVMe Fix

Your Fabric and Power Platform workloads aren’t slow because of Spark or DAX—they’re slow because your data lives far from your compute. Managed storage adds network hops, caps IOPS, and taxes every read/write with latency. The fix isn’t “more nodes”; it’s proximity. Azure Container Storage v2 (ACS…

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Oct. 20, 2025

Master Dataverse Security: Stop External Leaks Now

Your Power App didn’t get “hacked”—it was over-permitted. Treating Dataverse like SharePoint (big buckets, broad roles) turns guest access into a data breach waiting to happen. Dataverse is a relational fortress built on granular privileges (Create/Read/Write/Delete/Append/Append To/Assign/Share), …

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Oct. 20, 2025

Stop Using Power BI Wrong: The $10,000 Data Model Fix

Your dashboards aren’t just slow—they’re expensive. Every bloated column, lazy import, and tangled relationship silently taxes your Power BI Premium capacity and your team’s time. That inefficiency adds up to real money—often five figures a year. The cure isn’t a plug-in; it’s architecture. Move fr…

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Oct. 16, 2025

AI Factory vs. Chaos: Which Runs Your Enterprise?

AI is not “just another app” you park on general-purpose servers. Enterprise AI behaves like an ecosystem — volatile workloads, bursty data, exotic compute, and constant model evolution. That’s why so many AI pilots glow in the lab then die in production. The five tells that you’re no longer dealin…

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Oct. 11, 2025

The Hidden Engine Inside Microsoft Fabric

Microsoft Fabric fundamentally changes how Power BI handles data. With OneLake and Direct Lake, Power BI can now query lakehouse tables directly with performance similar to Import mode — without creating duplicate copies or maintaining complex refresh cycles. The winning Fabric pattern is simple…

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Oct. 8, 2025

Stop Blaming Users—Your Pipeline Is the Problem

Most Dataverse Fabric disasters come down to one bad choice: picking the wrong integration tool for the job. Synapse Link = the scalpel — precision, control, storage ownership, sub-hour sync (down to ~15 min) — expensive in Azure compute if you’re sloppy — requires real engineers + governance…

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Oct. 6, 2025

I Replaced 500 Measures Instantly—Here’s How

Drowning in a Power BI model stuffed with 500 cryptic measures like M1, rev_calc1, and TestFinal2? That chaos isn’t just ugly—it’s a productivity tax. Analysts waste hours hunting the “right” number, trust erodes, and duplicate logic spreads. The fix isn’t heroic clicking; it’s treating your model …

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Oct. 5, 2025

Licensing Nightmares: Why Self-Service BI Costs More Than You Think

Licensing isn’t a footnote in your BI plan—it’s the jump scare that wrecks budgets when self-service spreads. This episode maps how Microsoft Fabric goes from “empowering” to “expensive” when workspaces, duplicated datasets, and ad-hoc PPU purchases multiply in the shadows. We unpack the Wild West …

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Oct. 4, 2025

Unlocking Power BI: The True Game Changer for Teams

Most orgs say “data-driven,” but day-to-day they’re raiding 47 different dungeons for the same treasure. This episode shows how to stop rolling saving throws against chaos by equipping the legendary weapon you already own: Power BI embedded across Microsoft 365. Instead of alt-tabbing to a separate…

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Oct. 3, 2025

Microsoft Fabric Explained: No Code, No Nonsense

Microsoft’s branding roulette—Fabric, OneLake, Lakehouse, Warehouse—makes it hard to see what actually matters. This episode cuts through the names and focuses on the real architecture that determines whether your data program thrives or face-plants. We start with OneLake as the single, tenant-wide…

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Oct. 1, 2025

R or T-SQL? One Button Changes Everything

Your pipeline isn’t slow because R forgot how to math — it’s slow because compute is in the wrong place and data is moving too much. This episode shows how switching from local compute (R on your laptop) to SQL compute (R runs inside SQL Server, next to the data) flips hours into minutes. Then we t…

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Sept. 30, 2025

You're Flying Blind Without Business Central Telemetry and howto fix …

Flying Business Central without telemetry is flying IFR with the instruments off. Turn it on, push signals into Azure Application Insights, and read them with Microsoft’s Power BI apps to catch spikes, deadlocks, and extension issues before users file tickets. The gotcha that burns most admins? App…

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Sept. 29, 2025

Is Your Dataflow Reusable—or a One-Trick Disaster?

A dataflow that “worked today” can be a ticking time bomb tomorrow. Schema drift, hardcoded values, and brute-force reloads turn quick wins into fragile, costly pipelines. The fix is simple discipline: modular M, parameterization, Delta Lake with schema control, and partitioning + incremental refre…

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Sept. 28, 2025

Microsoft Fabric’s Digital Twin: The Fix for Messy Data… or Another H…

Is Fabric’s Digital Twin Builder a chaos-tamer or just another layer to babysit? We break down what the Digital Twin Builder (in Fabric Real-Time Intelligence) actually does: a semantic canvas for modeling, an ontology to keep definitions straight, low-code mapping of messy sources into OneLake, an…

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