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Notes on Superset, AI, and modern BI
Deep dives, engineering patterns, and field-tested playbooks from the D23 team.
- Guide Apr 18, 2026 · 18 mins
How MCP Servers Turn Your BI Stack Into an AI-Ready Data Platform
Learn how Model Context Protocol servers integrate AI with your BI stack. Technical primer on MCP for data engineers building AI-ready analytics.
Read article → - Guide Apr 18, 2026 · 19 mins
MCP Versioning: Maintaining Backward Compatibility
Learn MCP versioning strategies for maintaining backward compatibility. Manage breaking changes, semantic versioning, and AI agent integration without disruption.
Read article → - Guide Apr 18, 2026 · 15 mins
MCP vs REST APIs: When to Expose Analytics as Tools vs Endpoints
Compare MCP and REST APIs for exposing analytics. Learn when to use each for AI agents, dashboards, and embedded BI in production systems.
Read article → - Guide Apr 18, 2026 · 13 mins
Microsoft Fabric DirectLake Mode: A Production Review
Deep dive into DirectLake performance, limitations, and real-world trade-offs in production. Compare DirectLake vs Import and DirectQuery for analytics.
Read article → - Guide Apr 18, 2026 · 16 mins
Microsoft Fabric Notebooks vs Databricks Notebooks
Compare Microsoft Fabric and Databricks notebooks for data engineering. Explore developer experience, performance, pricing, and which platform fits your team.
Read article → - Guide Apr 18, 2026 · 19 mins
Microsoft Fabric OneLake: The Promise and the Reality
OneLake promises unified data storage. We break down what works, what doesn't, and how multi-workspace setups handle production reality.
Read article → - Guide Apr 18, 2026 · 16 mins
Microsoft Fabric Pricing: What It Actually Costs at Scale
Deep dive into Microsoft Fabric F-SKU pricing, capacity models, and hidden costs. Learn what Fabric truly costs at scale and where unexpected bills hit.
Read article → - Guide Apr 18, 2026 · 17 mins
Microsoft Fabric vs Apache Superset: When Each Wins
Compare Microsoft Fabric and Apache Superset for BI and analytics. Learn architecture, costs, deployment, and which platform wins for your data stack.
Read article → - Guide Apr 18, 2026 · 18 mins
Microsoft Sentinel for Data Engineering Security Monitoring
Learn how Microsoft Sentinel detects security incidents in data engineering workloads. Real-world monitoring strategies for data pipelines, warehouses, and analytics platforms.
Read article → - Guide Apr 18, 2026 · 18 mins
Microsoft Purview for Data Governance: Strengths and Gaps
Deep dive into Microsoft Purview's data governance capabilities, strengths in enterprise integration, and critical gaps for open lakehouses and modern analytics.
Read article → - Guide Apr 18, 2026 · 18 mins
Migrating from AWS QuickSight to Apache Superset
Step-by-step guide to migrating from AWS QuickSight to Apache Superset. Compare costs, features, and implementation strategies for open-source BI.
Read article → - Guide Apr 18, 2026 · 18 mins
Migrating from Azure Synapse to a Modern Lakehouse Architecture
Step-by-step guide to migrating from Azure Synapse to a lakehouse architecture using Iceberg, dbt, and Superset for modern analytics.
Read article →
Showing 229–240 of 326 articles