Databricks
Data Science Overview with Databricks
An archived introductory Tech Talk covering the Databricks workflow and its place in the nine-part Data Science for Dummies series.
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Databricks
An archived introductory Tech Talk covering the Databricks workflow and its place in the nine-part Data Science for Dummies series.
Microsoft Fabric
Assess accuracy, completeness, consistency, timeliness, and fitness for purpose before training or deploying an AI system.
Databricks
An archived Tech Talk showing how the Titanic dataset was prepared and engineered in Databricks before model training.
Microsoft Fabric
Learn where synthetic data helps AI teams, which privacy risks remain, and how Microsoft Fabric can support a governed workflow.
Microsoft Fabric
A sourced explanation of Microsoft's Frontier Firm concept, the research behind it, and practical questions for enterprise AI operating models.
Microsoft Fabric
Use Data-Driven's Agentic DNA framework to connect an AI agent's outcome, context, action boundary, and operating controls.
Microsoft Fabric
Map Fabric capacity, storage, refresh, and workload costs to owners before usage patterns turn into budget surprises.
Microsoft Fabric
Check supported Fabric endpoints, authentication options, driver limits, and migration steps before moving JDBC workloads to production.
Microsoft Fabric
Learn how Data Agents use Fabric sources, why semantic models matter, and what to review before a governed rollout.
Microsoft Fabric
What Microsoft's Osmos acquisition could change for Fabric data engineering, OneLake workflows, governance, and platform planning.
Copilot
A phased enterprise roadmap for governance, readiness, pilot design, role-based training, support, measurement, and scale.
Microsoft Fabric
Understand where fabric-cicd fits beside Git integration and deployment pipelines, and what platform teams should verify before adoption.
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