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If you haven’t already, check out Arun Ulag’s hero blog “FabCon and SQLCon 2026: Unifying databases and Fabric on a single, complete platform” for a complete lo

The enterprise-grade JDBC driver enables secure, flexible, and performant connectivity to Spark SQL workloads running in Microsoft Fabric, using Fabric’s Livy A

Here is the March 2026 release of the on-premises data gateway (version 3000.310).

Modern analytics workloads demand more than fast queries — they demand observability.

Here is the February 2026 release of the on-premises data gateway (version 3000.306).

To modernize workloads on Microsoft Fabric, bringing Synapse pipelines forward is a critical next step.

Fabric notebooks now support lakehouse auto-binding when used with Git. It is designed to simplify multi-environment workflows and reduce the operational overhe

Notebooks are rarely just a single file. Real-world notebook projects depend on supporting assets—such as reusable scripts, configuration files—that live alongs

Customer-managed keys (CMK) in Fabric SQL Database is a major step forward in empowering organizations to take control of their data security and compliance.

We are releasing the preview of a domain‑native data solution built as a workload in Fabric to power analytics and AI-enabled use-cases for capital markets and

From technical sessions to hallway conversations, FabCon and SQLCon 2026 showcased the momentum behind the Fabric and SQL ecosystems. The post Highlights from F

We're bring attendees together to share real experiences and solve challenges side-by-side. Only together can we move into meaningful results. The post FabCon a

Built on a consistent Microsoft SQL foundation from on premises to the cloud, Azure SQL brings AI capabilities directly into your database experience. The post

We're launching a new podcast called "The Shift," which does exactly that. Grounded in questions we heard from you after Ignite news, we're releasing eight epis

The Microsoft Fabric Community Conference (FabCon) is returning stateside in just a few weeks, taking place at the Georgia World Congress Center in Atlanta, Mar

FabCon and SQLCon will be one of the year’s largest gatherings of data professionals from around the world, bringing together tech enthusiasts, innovators, and

Microsoft has been recognized as a Leader in The Forrester Wave™: Streaming Data Platforms, Q4 2025, which we view as a strong validation of our strategy and ex

Today, I’m thrilled to announce the next generation of Microsoft’s databases: SQL Server 2025, Azure Document DB, Azure Horizon DB, and Fabric Databases, each r

We are highlighting the new zero-ETL, zero-copy sources in OneLake, deeper interoperability between OneLake and Microsoft Foundry, and new tools to help admins.

For nearly a decade, Microsoft and Databricks have closely partnered with the goal of empowering organizations to unlock the value of their data. The post Micro

Take part in our community contests and show off your skills. Whether you're a pro or a beginner, there's a contest for everyone.

Take part in our community contests and show off your skills. Whether you're a pro or a beginner, there's a contest for everyone.

Take part in our community contests and show off your skills. Whether you're a pro or a beginner, there's a contest for everyone.

Take part in our community contests and show off your skills. Whether you're a pro or a beginner, there's a contest for everyone.

Take part in our community contests and show off your skills. Whether you're a pro or a beginner, there's a contest for everyone.

Planned General availability Date: Q2 2026 Multi Lakehouse support in Lineage enables users to visualize and manage dependencies of Materialized Lake Views (MLV

Planned Public preview Date: Q3 2026 A commonly requested new capability for Output Destinations is the ability to merge, or upsert, data into previously loaded

Planned General availability Date: Q3 2026 This feature will introduce enhancements to SQL Audit Logs, including support for audit event filtering and query siz

Shipped Public preview Date: Q2 2026 The scaled canvas UX focuses on delivering a more consistent and scalable UX that supports advanced ontology configurations

Shipped General availability Date: Q2 2026 Oracle connector supports cloud-based scenario by bundling the Oracle Data Provider NET driver and avoiding users hav

Planned General availability Date: Q3 2026 Pipelines in Fabric Data Factory emphasize general re-use patterns and metadata driven methodologies. Now with suppor

Planned Public preview Date: Q3 2026 When automating your Fabric Data Factory pipelines, you will greatly benefit from having the flexibility to set the identit

Planned Public preview Date: Q2 2026 Fabric Data Warehouse will support the bcp utility and the TDS Bulk Load API, enabling high-performance data ingestion from

Shipped General availability Date: Q2 2026 The EXTERNAL DATA SOURCE feature allows you to define a root URI that can be referenced by name in OPENROWSET and BUL

Planned Public preview Date: Q2 2026 Computation-based scalar UDFs now support WHILE loops, multiple RETURN statements and deeply nested IF-THEN-ELSE blocks in

Shipped General availability Date: Q2 2026 The multiple task flows in a workspace feature enables users to create, manage, and navigate multiple independent tas

Planned General availability Date: Q2 2026 Ability to connect Fabric workspace to repositories which reside on GitHub Enterprise Cloud with data residency

Shipped Public preview Date: Q2 2026 OneLake provides rule-based lifecycle management to help organizations optimize storage costs. These policies allow adminis

Planned Public preview Date: Q2 2026 Quickly identify when and where throttling is occurring across your Eventhouse system. This feature highlights recent throt

Shipped General availability Date: Q1 2026 A common scenario for Dataflow Gen2 customers in Fabric is wanting to reference items in the "current workspace" rath

Shipped General availability Date: Q4 2025 Cosmos DB in Fabric allows customers to build operational and analytical workloads in Microsoft Fabric. Leverage the

Shipped General availability Date: Q4 2025 Now generally available, Azure Cosmos DB Mirroring in Fabric allows you to seamlessly integrate your existing operati

Shipped Public preview Date: Q3 2025 A current limitation is that we do not present users with the name of the artifact that produced an artifact execution, for

Shipped Public preview Date: Q3 2025 Enable users to view the Eventstream that streams data into their KQL DB table (direct or indirect mode), directly from the

Shipped General availability Date: Q4 2024 From within an activator item, you choose 'Get data' to pull events from Real-Time Hub. You get search and catalog ca

Shipped Public preview Date: Q1 2024 Customers are able to get event data from eventstreams in multiple Fabric items, including Lakehouse, KQL Database, and Ref

Planned Public preview Date: Q3 2026 Currently the largest message size Eventstream can support is 1MB. This new feature will push this limit to bigger size to

Planned Public preview Date: Q3 2026 The Reference Data Join feature in Eventstream enables you to enrich streaming events by joining them with static or slowly

Planned Public preview Date: Q3 2026 This feature enables customers to develop or re-use their own Kafka connectors or open-source Kafka connectors on Fabric wh

Planned Public preview Date: Q3 2026 The integration of Real-Time Intelligence with CopyJob in Microsoft Fabric empowers organizations to stream incremental upd

Originally published at https://shai-kr.github.io/data-ninja-ai-lab/blog/2026-05-17-fabric-ai-agent-production-checklist.html. A Fabric AI Agent demo can become

Originally published at https://shai-kr.github.io/data-ninja-ai-lab/blog/2026-05-13-microsoft-fabric-bill-onelake-problem.html. Most Fabric cost conversations s

Originally published at https://shai-kr.github.io/data-ninja-ai-lab/blog/2026-05-10-repository-intelligence-fabric-git.html. Repository Intelligence turns the F

Most enterprises building AI applications on their data start with a naive Retrieval-Augmented Generation (RAG) pipeline: chunking documents, embedding them int

Leveraging the Google Agent Development Kit (ADK) and the underlying Gemini LLM to build Multi-Agent Applications with A2A protocol support using the Python pro

Table Of Contents What was happening The impact Approach Implementation Technical stack Business impact What did not change Key takeaway Final note In one of ou

This article examines Microsoft Fabric not only as a technology platform but also as a comprehensive architecture introducing semantic discipline and a new orde

Running data functions at large organisations might look like one set of tools for ingestion, another for storage, something else for transformation, a separate

In the fast paced world of data management, organizations often find themselves locked into a single cloud provider, chasing the illusion of simplicity. This ch

Enterprises today grapple with fragmented data landscapes that slow decision making and inflate costs. Siloed tools for integration, warehousing, and analytics

Core Microsoft Fabric Concepts 1. Tenant A Fabric tenant is a dedicated, organization-wide container provided by Microsoft Fabric. Microsoft Entra ID (formerly

Microsoft Fabric has been making waves for two years now, and after diving deep with more than 6 months of hands-on experience, I’ve got some thoughts. Is it th

After three years of distributed teams, the evidence is clear: the companies thriving aren't the ones with the best video calls — they're the ones that learned to write things down.

Template literal types, const type parameters, and satisfies — these aren't just language features. They're a fundamentally different way to think about type safety at the boundaries of your system.

Most design systems break not because of bad components, but because of bad governance. Here's the framework we use to keep ours coherent across 12 product teams.

We integrated an LLM-powered code reviewer into our CI pipeline. It caught real bugs, but the most surprising impact was on junior developer confidence.

We hired for credentials instead of curiosity. By the time we realized our mistake, we'd burned through 6 months of runway and had to rebuild the team from scratch.

Before reaching for a new database, we exhausted what Postgres could do. Partitioning, connection pooling, and smart indexing got us further than most people think possible.

I wasn't exhausted or disengaged. I was performing well and shipping on time. But I'd stopped caring about the craft — and that was the warning sign I missed.

Accessibility isn't a checkbox on your sprint board. It's a design constraint — like responsive layout or performance budgets — that should be present from day one.