Microsoft Fabric Updates Blog

Introducing Job Queueing for Notebook in Microsoft Fabric

Users orchestrate their data engineering or data science processes using notebooks and in most of the enterprise scenarios pipelines and job schedulers are used as a primary option to schedule and trigger these Spark jobs. We are thrilled to announce a new feature Job Queueing for Notebook Jobs in Microsoft Fabric. This feature aims to … Continue reading “Introducing Job Queueing for Notebook in Microsoft Fabric”

Fabric Change the Game: SQLDB mirror into Microsoft Fabric

Having previously showcased the export of Azure SQL Database data and its import into the Lakehouse via Parquet format Microsoft Fabric changing the game: Exporting data and building the Lakehouse | Microsoft Fabric Blog | Microsoft Fabric, the recent launch of the Azure SQL DB mirror option for Microsoft Fabric has piqued customer interest in … Continue reading “Fabric Change the Game: SQLDB mirror into Microsoft Fabric”

Introducing Trusted Workspace Access in Fabric Data Pipelines

Create data pipelines in Fabric to access your firewall-enabled ADLS Gen2 storage accounts with ease and security. We are excited to announce a new feature in Fabric that enables you to create data pipelines to access your firewall-enabled Azure Data Lake Storage Gen2 (ADLS Gen2) accounts. This feature leverages the workspace identity to establish a … Continue reading “Introducing Trusted Workspace Access in Fabric Data Pipelines”

Bridging Fabric Lakehouses: Delta Change Data Feed for Seamless ETL

Within Microsoft Fabric, Delta Tables serve as a common file/table format. These tables find application both in the Data Warehouse and as managed tables within the Lakehouse. Their versatility extends to several features and functionalities, making them indispensable in various use cases. One such feature is the Delta Change Data Feed. While not new to Microsoft Fabric, this … Continue reading “Bridging Fabric Lakehouses: Delta Change Data Feed for Seamless ETL”

Protect PII information in your Microsoft Fabric Lakehouse with Responsible AI

Organizations, data analysts and data scientists need to protect the personally identifiable information (PII) of their clients, such as names, addresses, emails, phone numbers, or social security numbers (SSN), that they use to build reports and dashboards. PII can pose risks to both the data subjects and the data holders and can introduce security breach … Continue reading “Protect PII information in your Microsoft Fabric Lakehouse with Responsible AI”