lokakuuta 30, 2024 tekijä Patrick LeBlanc 27 097 Näkymät
Welcome to the October 2024 Update! Here are a few, select highlights of the many we have for Fabric this month. API for GraphQL support for Service Principal Names (SPNs). Introducing a powerful new feature in Lakehouses: Sorting, Filtering, and Searching capabilities. An addition to KQL Queryset that will revolutionize the way you interact with …
T-SQL Notebook public preview Coauthored by: Priyanka Langade T-SQL notebook is now in public preview! This update expands our language offerings, allowing T-SQL developers to use Notebooks for Data Warehouse development. You can manage complex queries and document your process with Markdown cells for better documentation. Now, with the ability to add a Data Warehouse …
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GCS shortcuts and S3 Compatible shortcuts are now generally available. Utilize shortcuts in OneLake to quickly and easily make data accessible in Fabric. No need to set up pipelines or copy jobs, just create a shortcut and your data is immediately available in Fabric. From your Lakehouse, select new shortcut. Choose your shortcuts type (GCS, …
Continue reading “Google Cloud Storage shortcuts and S3 Compatible shortcuts generally available”
We’re thrilled to introduce a new feature in Fabric: Lakehouse schemas. This feature lets users arrange their lakehouse tables into a folder-like structure, enhancing data discovery and more. Many users will be familiar with schemas in Fabric using Data Warehouse, and we are bringing aligned capabilities into Lakehouse. Schemas created in your lakehouses will also …
Continue reading “Organizing your tables with lakehouse schemas and more (Public Preview)”
You can now access Azure Databricks Unity Catalog tables directly from Fabric via the new Mirrored Azure Databricks Catalog feature, now in Public Preview. This capability utilizes shortcuts in OneLake, ensuring that Fabric avoids any data movement or duplication. Leverage the unique advantage on Azure where you now can further your investment in Azure Databricks …
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Mirroring for Snowflake is now generally available, a frictionless way to add your entire Snowflake databases into OneLake data estate. Setting up Mirroring is trivial and simple. Once Mirroring starts the replication process, the mirrored data is automatically kept up to date at near real-time in OneLake. With your Snowflake data landed into OneLake, the …
