Microsoft Fabric Updates Blog

Lakehouse Schemas (Generally Available)

Schema lakehouses are now Generally Available. By using schemas in lakehouses, users can arrange their tables more efficiently and make it easier to find data. When creating new lakehouses, schema-enabled lakehouses will now be the default choice. However, users still have the option to create lakehouses without a schema if they prefer. What do schema … Continue reading “Lakehouse Schemas (Generally Available)”

Optimizing Permissions with OneLake Security ReadWrite Access

Many data teams face the same challenge: balancing the need for open collaboration with the responsibility of protecting sensitive information. As organizations grow, data often lives across multiple domains—some containing critical or confidential datasets—while partner teams may only need access to a subset of that information. Until recently, maintaining this balance often meant trade-offs. Teams … Continue reading “Optimizing Permissions with OneLake Security ReadWrite Access”

Bridging the Gap: Automate Warehouse & SQL Endpoint Deployment in Microsoft Fabric

Deployment Challenges While Solutions Are in Development Microsoft Fabric has revolutionized data analytics with its unified platform, but deploying complex architectures with cross-dependencies remains a significant challenge for organizations. The good news is that the Microsoft Fabric team is actively working on native warehouse deployment capabilities with DacFx, cross-item dependency resolution, and cross-warehouse reference support. … Continue reading “Bridging the Gap: Automate Warehouse & SQL Endpoint Deployment in Microsoft Fabric”

Exposing Lakehouse Materialized Views to applications in minutes with GraphQL APIs in Microsoft Fabric

In today’s data-driven world, the ability to quickly expose data through modern APIs is crucial. Microsoft Fabric’s API for GraphQL combined with Materialized Lake Views offers a powerful solution that bridges the gap between your Fabric LakeHouse data and application developers who need fast, flexible access to your data. In this guide, we’ll walk you … Continue reading “Exposing Lakehouse Materialized Views to applications in minutes with GraphQL APIs in Microsoft Fabric”

Microsoft JDBC Driver for Microsoft Fabric Data Engineering (Preview)

JDBC (Java Database Connectivity) is a widely adopted standard that enables client applications to connect to and work with data from databases and big data platforms. The Microsoft JDBC Driver for Microsoft Fabric Data Engineering (Preview) – an enterprise-grade connector that brings powerful, secure, and flexible Spark SQL connectivity to your Java applications and BI … Continue reading “Microsoft JDBC Driver for Microsoft Fabric Data Engineering (Preview)”