Microsoft Fabric Capacity Planning: Right-Sizing Your Data Platform
For development and test environments, implement auto-pause policies to reduce costs during inactive periods. Monitor utilization patterns and adjust…
31 articles
For development and test environments, implement auto-pause policies to reduce costs during inactive periods. Monitor utilization patterns and adjust…
Databricks unifies data, ML, and AI on a single lakehouse platform.
Microsoft Fabric integrates AI throughout the analytics lifecycle from ingestion to insights.
Fabric + AI creates a powerful platform for intelligent analytics. Leverage Spark's scale with AI's intelligence.
Fabric + AI creates a powerful combination for intelligent analytics. Start with simple enrichments and build toward complex AI-powered workflows.
Microsoft's vision for Fabric in 2025 centers on: 1. AI native analytics Copilot everywhere 2. Real time everything Sub second latency 3. Governance by…
The data platform of the future will feel like working with a knowledgeable colleague who understands your data and your business. Start building toward…
Platform engineering enables scale while maintaining quality and consistency. Build platforms that make the right thing easy and the wrong thing hard.
The data platform landscape is consolidating around unified, AI-native platforms with strong real-time capabilities. Organizations should align their…
1. Start with a focused use case Don't try to migrate everything at once 2. Embrace lakehouse architecture It's the foundation of Fabric 3. Invest in…
Stay informed about the Fabric roadmap to plan your data platform strategy effectively. The pace of innovation is rapid, so regular review of announcements…
A unified data platform on Fabric eliminates the complexity of managing multiple systems while providing the flexibility to handle any data workload.
Microsoft announced the preview of relational databases directly within Fabric, bringing transactional workloads into the unified platform.
This month we explored Microsoft Fabric comprehensively. Today I'm summarizing key learnings and best practices from my June 2024 deep dive.
Federated governance balances domain autonomy with organizational standards. Today I'm exploring how to implement effective federated governance in…
1. Clear domain boundaries Define ownership clearly 2. Product thinking Treat data as a product 3. Self serve enablement Empower domain teams 4.…
Eventhouses are the foundation of Real-Time Intelligence in Fabric. Today I'm exploring their architecture and capabilities in depth.
Real-Time Intelligence is Fabric's answer to streaming analytics, combining the power of Azure Data Explorer with the unified Fabric experience.
I've been tracking Fabric updates closely since GA in November 2023. In January 2024 several features landed that change operational workflows; below are…
Platform engineering is the pragmatic answer to scale: provide golden paths, self-service APIs and guardrails so teams move quickly without repeating…
Having lived through the shift from monolithic warehouses to lakehouses, the pattern I'm seeing now is convergence: open formats, governance, and…
Choosing Lakehouse vs Warehouse is an architectural trade-off: for open-format, large-scale analytics and ML, Lakehouse is the better fit; for classic T-SQL…
There is no substitute for learning from real migrations: the patterns we reuse (lift-and-shift for bulk data, iterative modernization for dependent…
A practical Fabric adoption roadmap balances fast wins with platform work — start with a high-impact pilot, instrument the value stream, and invest in a…
Microsoft Fabric reaching General Availability at Ignite 2023 (November 15-17) is the milestone that transforms the six-month public preview from an…
All in ONE cohesive experience with ONE security model and ONE business model. At the heart of Fabric is OneLake - think of it as "OneDrive for data." It's…
The fastest approach uses OneLake shortcuts to reference existing data without copying. Run Fabric alongside existing platform during transition.
Both Synapse and Fabric are excellent platforms. The choice depends on your specific requirements, existing investments, and organizational priorities.
This fragmentation creates operational overhead that Fabric aims to eliminate.
The convergence of data lakes and data warehouses became mainstream: Streaming data processing became more accessible: Organizations adopted data mesh…