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.
