Browse All Machine Learning Content (248)

John Savill runs through the 7th August 2026 Azure update, covering changes across compute, networking, security, storage, SQL, and Databricks—highlighting VM defaults and retirements, new routing and proxy capabilities, Private Link over IPv6, and several Databricks and Azure SQL enhancements.

Yulia Turchin announces a Microsoft Fabric admin change that enables Item Recovery by default for tenants without an explicit setting, providing a built-in recovery window for supported item types and guidance on retention, restore workflows, and OneLake storage billing impact.

goupadhy announces a preview opt-in setting for VNet data gateways in Microsoft Fabric: the modern evaluation engine. The post explains what workloads it applies to (Mashup evaluations), why it matters for refresh and DirectQuery performance, and what metrics and rollout practices to use when validating it in your environment.

mk_sunitha introduces scheduled User Data Functions in Microsoft Fabric (Preview), showing how teams can run custom, parameterized business logic on a recurring cadence using the Fabric job scheduler, and then monitor outcomes and failures from the Fabric Monitoring Hub.

Scirqueira explains how to choose a medallion architecture pattern in Microsoft Fabric Data Warehouse by focusing on how much Spark you actually need, then mapping Bronze/Silver/Gold layers to either an all-in-one warehouse approach or a Lakehouse + Warehouse hybrid.

robece-msft explains how to choose between Business Events, Fabric Events, and Azure Events in Microsoft Fabric, focusing on how each “event pillar” fits different event-driven architecture needs and enterprise implementation patterns across the Fabric platform.

Microsoft Developer shares Shireesh Thota’s perspective on turning “data everywhere” into usable intelligence by bringing data together, adding context, and applying AI on top—framed as an architecture discussion rather than a single feature walkthrough.

MattH_OneLake announces preview mirroring features in Microsoft Fabric that let teams surface Azure Monitor (Log Analytics) tables and AWS Glue-cataloged Apache Iceberg tables in OneLake using a zero-copy, metadata-based approach for cross-domain and cross-cloud analytics.

robece-msft continues the Microsoft Fabric Business Events series with guidance on designing business event schemas that downstream consumers can reliably interpret and act on in event-driven architectures.

sbaynes reports on PRISM2, a pathology foundation model from Microsoft Research and Paige (Tempus) that links tissue images with diagnostic language from real pathology reports, aiming to reduce the need to rebuild separate models for each cancer-detection task.

nzagorac-ms announces a preview feature for SQL database in Microsoft Fabric that streams row-level changes (inserts, updates, deletes) into Fabric Eventstream or Azure Event Hubs, enabling near-real-time pipelines that connect operational data to analytics workflows inside Fabric.

Tzvia introduces Eventhouse in Microsoft Fabric and explains how it helps data engineers ingest, store, and analyze high-volume streaming event data in near real time, reducing the usual tuning and plumbing required for streaming workloads.

This week's ML roundup focuses on turning ML work into repeatable, production-friendly systems. Microsoft outlined an API-driven GeoAI pipeline for generating GIS-ready vector layers from Earth observation imagery using the MARS model, while Microsoft Research shared Echoverse, a set of stateful synthetic environments with database-grounded verifiers to make computer-use agent training and evaluation more reliable. On the data platform side, Fabric and OneLake updates emphasized zero-copy access to telemetry and open table formats, stronger governance and outbound controls, and more operable real-time and Spark foundations that feed analytics and ML workflows.

Pamela Fox shares the materials from the “Microsoft IQ Deep Dive with Python” livestream series, showing how to ground AI apps and agents using Web IQ, Work IQ, Fabric IQ, and Foundry IQ via MCP endpoints, plus code samples, slides, and write-ups for building and deploying Python agents.

nelsontam introduces Microsoft’s MARS (Map Autoregressive) model on Microsoft Foundry and explains how it converts satellite imagery into GIS-ready vector map data. The post outlines an end-to-end workflow with Microsoft Planetary Computer Pro, including STAC/COG ingestion requirements and practical deployment settings for running geospatial feature extraction at scale.

Samantha Kubota introduces Echoverse, a set of high-fidelity synthetic “worlds” for training computer-use agents, and explains why depth (stateful workflows and database-grounded grading) matters more than sheer environment count. The post shares results from supervised fine-tuning and reinforcement learning, plus links to released code and datasets.

John Savill rounds up a week of Azure platform updates, spanning AKS, networking, API Management, monitoring, data services, and regional expansion, plus a few notable AI model availability items and security-related changes like Azure Enclave and Key Vault symmetric keys.

diptiborkar summarizes why Microsoft Fabric and OneLake were recognized as a Leader in Forrester’s 2026 Data Lakehouses report, focusing on a unified lakehouse foundation for analytics and AI, open table formats, cross-cloud interoperability, and built-in governance and security across engines like Spark, SQL, KQL, and Power BI.

arindamc explains how Workspace Outbound Access Protection (OAP) in Microsoft Fabric controls outbound connectivity for Eventstream, so streaming pipelines can only read from approved sources and write to approved destinations (including cross-workspace routes) using data connection rules.

MattH_OneLake announces two Microsoft Fabric preview features that mirror Azure Monitor (Log Analytics) tables and AWS Glue Data Catalog-managed Apache Iceberg tables into OneLake. The post explains the zero-copy, metadata-based approach and outlines how to set up each mirroring source for analysis across Fabric workloads.

robece-msft outlines how to build event-driven applications in Microsoft Fabric using Business Events and User Data Functions, with code samples, architecture patterns, and practical scenarios aimed at teams building real-time, data-centric solutions.

Tzvia introduces Real-Time Dashboard in Microsoft Fabric, focusing on using streaming data to build live operational views that update in seconds so teams can spot spikes, slowdowns, and stalled processes quickly and respond while events are still unfolding.

ealroybrin introduces Microsoft Fabric Embed (Preview), which lets developers embed Fabric Real-Time Dashboards into JavaScript/TypeScript web apps using delegated Microsoft Entra ID authentication. The post outlines what the preview supports, key limitations (like no service principal auth), and how Fabric governance and permissions carry over to embedded experiences.

Santhosh_Ravin1 announces general availability of job concurrency and queue monitoring for Apache Spark in Microsoft Fabric, adding a capacity-level view to help diagnose why Spark jobs are queued or throttled and to understand how individual workspaces consume shared capacity over time.

Ilana Waitser introduces a preview capability that brings Azure Monitor telemetry into Microsoft Fabric so teams can connect operational signals (logs and metrics) with analytics workflows and understand business impact faster.

Ilana Waitser announces a public preview that lets you share Azure Monitor Logs from a Log Analytics workspace into Microsoft Fabric’s OneLake as Delta Parquet, without duplicating data. The post explains what this enables in Fabric—Power BI reporting, Spark-based analytics and ML, and correlating telemetry with business data for near real-time decisions.

Santhosh_Ravin1 announces that Microsoft Fabric now extends customer-managed key (CMK) encryption to the Spark processing layer, covering data that Spark jobs read, write, and temporarily stage on compute clusters—aimed at meeting stricter security and compliance expectations for key control during active processing.

murray-kp rounds up the July 2026 Microsoft Fabric updates across CI/CD and Git integration, OneLake governance, Spark runtime and diagnostics, lakehouse and warehouse features, and Real-Time Intelligence improvements including Eventstream security and new connectors.

Rafia Aqil outlines how to enable Azure Databricks’ Compliance Security Profile (CSP) for HIPAA workloads, including the September 1, 2026 deadline, required prerequisites like Azure VNet encryption and supported VM series, and a rollout approach to validate cluster startup and end-to-end connectivity before production.

fredguis outlines upcoming OneLake Security changes for Microsoft Fabric SQL analytics endpoints, focusing on enterprise-friendly access control. The update improves nested group resolution, shortcut-backed table behavior in hub-and-spoke lakehouse setups, more consistent column-level security with group-based access, and broader service principal support for automated and app-owned data products.

Matt Gordon and Anna Hoffman show how to set up anomaly detection in Microsoft Fabric using streaming change events from Azure SQL/SQL Server, then trigger alerts and actions with Fabric components like Eventstream, Eventhouse, and Activator.

aonelakeuser outlines summer updates to OneLake security in Microsoft Fabric, including broader engine coverage (Eventhouse and Fabric Graph), a simplified column-level security UI, faster Secure tab performance, a redesigned SQL Analytics Endpoint sync model, and generally available OneLake security APIs.

Nora Zhan introduces “Physical-World Intelligence” and explains how GeoAI combines geospatial data (weather, satellite imagery, sensors, and maps) with enterprise context and AI. The article outlines Microsoft Foundry’s geospatial model catalog, Planetary Computer Pro as a GeoAI data plane, and a GeoAI SDK for production-scale inference workflows.

Santhosh_Ravin1 explains how Microsoft Fabric Spark’s Native Execution Engine now accelerates CSV reads with a native, SIMD-optimized reader, improving common data engineering workloads without requiring code changes.

AmirJafari announces updates to Fabric data agents in Microsoft Foundry, focusing on simpler MCP-based connectivity, OneLake Catalog discovery, support for attaching multiple data agents to a single Foundry agent, and improved production troubleshooting via Foundry Observability traces and logs.

John Savill gives a very quick overview of Rayfin and Microsoft Fabric Apps, focusing on where they fit in the Fabric ecosystem and why they matter for analytics and data platform work.

John Savill gives a quick overview of Rayfin and Microsoft Fabric Apps, focusing on the problem they’re trying to solve, how the Fabric Apps data model works, and what app hosting looks like in practice, with a short demo and key takeaways.

mayurjain explains how the OpenAI Assistants API retirement on August 26, 2026 affects programmatic integrations with Microsoft Fabric Data Agents, and why Microsoft recommends moving to the Data Agent Model Context Protocol (MCP) endpoint instead of rebuilding directly on OpenAI’s Responses API.

robece-msft introduces the fundamentals of event-driven architecture in Microsoft Fabric, focusing on Real-Time Hub and how Fabric’s event capabilities help workloads react to meaningful business signals in real time.

This week's ML roundup focuses on the practical path from research ideas to systems you can ship. Microsoft open-sourced ML Video Codec (MLVC) with code, weights, and tooling for real-time deployment on commodity NPUs, while Fabric and SQL updates show clearer patterns for streaming fresh signals into ML enrichment and feature updates. On the platform side, OneLake and Lakehouse improvements reduce friction around query iteration, cross-platform table access, and tighter inbound controls. We close with lessons on scaling large training runs across AMD and NVIDIA via Foundry Managed Compute and a look at Microsoft IQ as a governance-first way to feed agents the right context.