Content by microsoft fabric blog (299)
Microsoft Fabric Blog explains how to manage Spark libraries in Microsoft Fabric Environments, comparing Quick mode, Full mode, custom live pools, the Resources folder, and inline installation to balance fast iteration with stable, reproducible production runs.
Microsoft Fabric Blog announces new preview capabilities for the Fabric Extensibility Toolkit, covering Git and Deployment Pipelines support for custom workload items, Variable Library configuration per environment, webhook-based lifecycle notifications to backends, and scheduled “Remote Jobs” that run with delegated user tokens.
Microsoft Fabric Blog announces new OneLake security APIs that let third-party query engines enforce Fabric/OneLake permissions (including RLS and CLS) at query time, so security can be defined once and applied consistently wherever the data is read.
Microsoft Fabric Blog announces “Extended Capabilities” for Mirroring in Microsoft Fabric, adding paid, opt-in features like Delta Change Data Feed (CDF) and Mirroring Views to support incremental processing and curated, analytics-ready data in OneLake for analytics and AI workloads.
Microsoft Fabric Blog summarizes the latest GA and preview improvements for SQL database in Microsoft Fabric, including migration help for SQL Server/Azure SQL, new operational controls, Fabric REST API scenarios, security features like CMK with Azure Key Vault, and performance upgrades for vector search.
Microsoft Fabric Blog explains how to enable audit columns in Microsoft Fabric Data Factory Copy job, adding row-level metadata (extraction time, file path, workspace/job/run IDs, incremental bounds, and custom values) to improve lineage, compliance reporting, and data quality debugging.
Microsoft Fabric Blog announces Custom SQL Pools for Fabric Data Warehouse (Preview), a feature that lets workspace admins isolate SQL workloads by allocating compute percentages per pool, routing queries by application name/regex, and monitoring pressure via a built-in insights view.
Microsoft Fabric Blog announces Fabric Runtime 2.0 (Preview), a new runtime option in Microsoft Fabric for large-scale Spark workloads, bringing updated Spark/Delta Lake versions and newer Java/Scala/Python baselines for data engineering and data science projects.
Microsoft Fabric Blog announces Materialized Lake Views (MLVs) are now generally available in Microsoft Fabric, explaining how data engineers can build medallion (bronze/silver/gold) Lakehouse pipelines with Spark SQL or PySpark, get incremental refresh via an optimal refresh engine, add multi-schedule orchestration, and enforce data quality rules at scale.
Microsoft Fabric Blog summarizes FabCon Atlanta announcements for Fabric Data Factory, covering new security controls, OneLake mirroring expansions, Dataflow Gen2 and Copy job upgrades, orchestration improvements, and an MCP server that lets agentic tools integrate with Fabric Data Factory capabilities.
Microsoft Fabric Blog (with coauthor Bogdan Crivat referenced in the post) announces public previews and updates to migration assistants that move Azure Data Factory pipelines, Azure Synapse Spark artifacts, and Synapse dedicated SQL pools into Microsoft Fabric, aiming to reduce migration risk and simplify orchestration, Spark operations, and data warehousing in a unified SaaS analytics platform.
Microsoft Fabric Blog rounds up new and updated ISV workloads and integrations that run natively in Microsoft Fabric and operate on OneLake data, covering GA and preview offerings (analytics/reporting, data quality, synthetic data, migrations) plus OneLake table-format and catalog integrations.
Microsoft Fabric Blog announces a preview of Planning in Microsoft Fabric IQ, adding budgeting, forecasting, scenario modeling, and collaborative workflows directly on top of governed Fabric data (OneLake, Power BI semantic models, and Fabric SQL writeback), with an eye toward enabling AI-assisted decision-making grounded in business intent.
Microsoft Fabric Blog outlines OneLake updates announced at FabCon and SQLCon 2026, covering new mirroring/shortcut sources, shortcut transformations (including Delta Lake conversions), deeper Microsoft Foundry integration, and expanded governance controls like OneLake security, network access rules, and catalog APIs.
Microsoft Fabric Blog summarizes FabCon | SQLCon announcements focused on Microsoft Fabric and Azure databases: a new Database Hub for unified estate management, new SQL database in Fabric capabilities (migration, security, configuration), Cosmos DB mirroring updates, and developer tooling like GitHub Copilot in SSMS 22.
Microsoft Fabric Blog announces general availability of admin-triggered auto-update for the on-premises data gateway, explaining how admins can schedule and automate upgrades (including a PowerShell option) to better fit maintenance windows, change control, and compliance needs.
Microsoft Fabric Blog outlines how Microsoft Fabric Real-Time Intelligence and Fabric IQ aim to provide a shared semantic/ontology layer for real-time operations, enabling AI agents to reason over consistent business context. It also announces a Microsoft–NVIDIA Omniverse integration (private preview in April) and highlights new/updated Fabric capabilities like Maps (GA), Business Events, Graph, ontology improvements, and SQL Operator in Eventstream.
Microsoft Fabric Blog outlines what’s shipping across Fabric Analytics—Spark performance work, Fabric Data Warehouse updates, Power BI semantic modeling improvements, and Fabric Data Agents—plus a new open-source “Agent Skills for Fabric” integration for GitHub Copilot CLI.
Microsoft Fabric Blog introduces Ontology Rules and Fabric Activator integration in Fabric IQ, showing how business logic can now drive real-time actions using enterprise data models.
Microsoft Fabric Blog details how VS Code users can now deploy SQL database schema changes directly to Fabric, streamlining data engineering workflows. Author Microsoft Fabric Blog explains new publish dialog and item templates, improving productivity for database and application development teams.