Microsoft Fabric: Six Months In Production
OneLake is brilliant. One storage layer for everything. No more copying data between Synapse, Data Lake, and Power BI. It just works.
83 articles
OneLake is brilliant. One storage layer for everything. No more copying data between Synapse, Data Lake, and Power BI. It just works.
A Lakehouse stores data in open formats like Delta Lake while providing SQL query capabilities, ACID transactions, and schema enforcement. In Microsoft…
Use descriptive table and column names that match business terminology. Add measure descriptions explaining what each calculation represents. Create…
Rigorous ROI measurement ensures AI investments deliver demonstrable business value.
Synapse enables AI at data warehouse scale with native ML integration.
Microsoft Fabric integrates AI throughout the analytics lifecycle from ingestion to insights.
The AI-powered semantic layer makes data truly self-service. Users ask questions in their own words, and the system handles the translation to technical…
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…
Analytics modernization is a journey, not a destination. Start with clear goals, measure progress, and continuously evolve your analytics capabilities.
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…
AI ROI is real and measurable, but requires disciplined baseline measurement and honest assessment of both costs and benefits.
AI Skills democratize data access while maintaining governance. Start with well-defined domains and expand based on user feedback.
The Fabric platform continues to mature into a comprehensive, AI-native analytics solution.
HTAP in Microsoft Fabric enables unified transactional and analytical workloads without complex ETL pipelines. Design your schemas with both workloads in mind.
Microsoft announced the preview of relational databases directly within Fabric, bringing transactional workloads into the unified platform.
1. Collect comprehensively : Gather data from all sources 2. Aggregate appropriately : Different audiences need different views 3. Automate distribution :…
Most enterprises use multiple clouds: 1. Minimize cross cloud joins : Materialize frequently joined data 2. Use shortcuts wisely : Only for data that…
Unlike SQL mirroring which uses change tracking, Cosmos DB mirroring leverages the built in analytical store: 1. Go to your Cosmos DB account 2. Navigate to…
Real-time dashboards bring your streaming data to life. Today I'm exploring how to build effective real-time visualizations in Fabric.
Real-Time Intelligence is Fabric's answer to streaming analytics, combining the power of Azure Data Explorer with the unified Fabric experience.
Databricks dashboards (including Lakeview) provide powerful visualization capabilities integrated with the lakehouse. This guide covers building effective…
Genie Spaces enable non-technical users to explore data using natural language. This guide covers setting up and optimizing Genie Spaces for your organization.
Databricks AI/BI combines the power of the lakehouse with AI-driven analytics. This guide explores how to leverage AI/BI for intelligent data analysis.
Azure Databricks continues to evolve with powerful AI/BI features. April 2024 brings significant updates that blur the line between data engineering and…
Auto-generated insights use AI to automatically discover patterns, anomalies, and trends in your data. This guide covers building insight generation systems.
Natural language interfaces for data go beyond simple Q&A to enable complex analytical conversations. This guide explores advanced natural language query…
Power BI Q&A enables users to ask questions in natural language and receive instant visualizations. Recent improvements make it more accurate and powerful.
Smart Narratives automatically generate text summaries of your data, transforming numbers into stories. This guide covers implementation and customization.
Copilot in Power BI revolutionizes how we build reports and analyze data. This guide explores how to effectively use Copilot for report creation and data…
Power BI continues to evolve with AI-driven features that make data analysis more accessible. Here's what's new in April 2024.
Microsoft Fabric's Copilot transforms data analysis by enabling natural language interactions with your data. This guide shows how to leverage Copilot for…
Microsoft Fabric Copilot has received significant upgrades, making AI-assisted data analysis more powerful and contextually aware. Here's what's new and how…
Microsoft Fabric continues to evolve as a unified analytics platform. April 2024 brings significant updates across data engineering, science, and business…
I've been tracking Fabric updates closely since GA in November 2023. In January 2024 several features landed that change operational workflows; below are…
Microsoft Fabric reached General Availability at Ignite 2023 — November 15-17 in Seattle — and it's the outcome I genuinely thought might take another six…
Copilot in Microsoft Fabric was announced at Ignite 2023 as the AI-powered natural language layer across the Fabric experience. The capabilities at launch…
Microsoft Fabric reaching General Availability at Ignite 2023 (November 15-17) is the milestone that transforms the six-month public preview from an…
Best practices and lessons learned from implementing Microsoft Fabric solutions for enterprise analytics.
Understanding Semantic Link in Microsoft Fabric for seamless integration between Power BI datasets and Spark notebooks.
The Fabric Warehouse is the part of Microsoft Fabric that surprised me most in hands-on testing. I expected it to be the Lakehouse's SQL analytics endpoint…
Six weeks into the Fabric public preview and I'm past the demo phase — I'm running actual data engineering workloads and discovering what holds up and what…
Semantic models provide the business logic layer that enables self-service analytics. Tomorrow, I will cover Fabric Notebooks.
Direct Lake is the quiet superpower of Microsoft Fabric, and I think it's underexplained in most of the post-Build coverage. The classic Power BI trade-off…
At Microsoft Build 2023 on May 23, Satya Nadella announced Microsoft Fabric with the phrase "perhaps the biggest launch of a data product from Microsoft…
The Fabric Data Warehouse provides enterprise SQL analytics without infrastructure management. Tomorrow, I will cover Synapse Real-Time Analytics for…
This fragmentation creates operational overhead that Fabric aims to eliminate.
AI data analysis assistants make insights accessible to everyone, regardless of technical expertise. The key is combining natural language understanding…
GPT-4 transforms data analysis from technical SQL writing to conversational exploration. The ability to interpret results and generate insights makes data…
The convergence of data lakes and data warehouses became mainstream: Streaming data processing became more accessible: Organizations adopted data mesh…
Combining Citus's distributed query power with rollup tables and caching enables dashboards that handle millions of events per second.
Azure's real time analytics stack enables instant insights from millions of events per second, powering live dashboards and alerts.
Databricks SQL offers: SQL Endpoints : Serverless compute for SQL queries Query Editor : Web based SQL IDE Dashboards : Built in visualization and reporting…
Azure Synapse Analytics in 2022 provides a more unified, performant, and feature-rich analytics platform.
Smart narratives transform raw data into understandable stories, making Power BI reports more accessible to all users regardless of their analytical expertise.
Automatic aggregations bring AI-powered optimization to Power BI, making it easier than ever to achieve excellent query performance on large datasets.
Hybrid tables provide the perfect balance between real-time data freshness and historical data performance.
DirectQuery for datasets enables a governed, scalable approach to enterprise analytics where teams can self-serve while building on trusted, certified data.
Composite models let you use both in the same dataset. Composite models unlock new scenarios in Power BI, enabling enterprise-scale analytics with the…
Power BI in 2022 offers unprecedented flexibility for enterprise analytics with features that scale from simple reports to complex enterprise deployments.
Azure Synapse Link for Dataverse eliminates the traditional barriers between operational and analytical systems. Business users get insights from live data…
Power BI Deployment Pipelines transform how organizations manage their analytics lifecycle. By bringing CI/CD practices to BI, teams can deliver insights…
Premium capacities offer: Dedicated compute : No sharing with other tenants Larger datasets : Up to 400GB per dataset Paginated reports : Enterprise…
Azure Data Explorer is the analytics service that addresses a specific limitation of Log Analytics: KQL query performance on large historical datasets…
Azure Data Lake Storage Gen2 provides the foundation for modern data analytics, combining the best of blob storage scalability with the directory semantics…
Power BI Goals arrived in 2021 as Microsoft's answer to OKR tracking inside the BI platform, and I think it was better conceived than it might sound. The…
Premium Gen2 introduces several architectural improvements: Autoscale compute resources based on demand No need for capacity management or monitoring v…
Databricks SQL Analytics provides: Native SQL interface to query Delta Lake tables SQL Endpoints with auto scaling compute Built in visualization and…
Spark SQL is where I've seen the highest productivity for data engineers who already know SQL but are new to distributed processing. You write familiar SQL…
Power BI Premium Per User launched as the answer to "my team needs paginated reports, deployment pipelines, and large dataset support but we don't have a…
Dedicated SQL pools distribute data across 60 distributions for parallel processing: Control node : Orchestrates queries and manages metadata Compute nodes…
The question that sparked this post came from a data engineer on a client project: "can we run Power BI reports against Cosmos DB without destroying the…
Dataflows are collections of entities (tables) that are created and managed in workspaces in the Power BI service. They allow you to: Connect to various…
"Run analytics on Cosmos data without burning RU/s on the OLTP container" used to mean ETL-by-night. Synapse Link makes the trade-off go away. A…
If you've used Log Analytics or Sentinel, you've already used Azure Data Explorer—they're built on the same engine. ADX as a standalone product is the thing…
"Why is the dataset refresh taking three hours?" is the question that eventually leads every Power BI shop to incremental refresh. The first time I switched…
SQL Analytics is Databricks' bid for the BI persona who never wanted to learn PySpark. A T-SQL endpoint over Delta Lake, a query editor that looks like…
All of this is unified through Synapse Studio - a single workspace where data engineers, data scientists, and analysts can collaborate.
A general-purpose database can store time-stamped data. It just gets sad about it once you're past a few hundred million rows and someone wants a five-year…
Right-click table → Incremental refresh Incremental refresh transforms multi-hour refreshes into minutes.
Synapse Link: analytics without the pipeline complexity.
A client this month wanted dashboards living inside their existing customer portal — "looks like my app, not like Power BI." That's the embedded analytics…