十月 30, 2024 作者 Patrick LeBlanc 48,980 视图
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 …
In 2023 //Build, Microsoft has unveiled Microsoft Fabric – an end-to-end, unified analytics platform that brings together all the data and analytics tools that organizations need. It is an all-in-one analytics product that addresses every data analytics scenario with its core workloads, such as Data Factory, Data Engineering, Data Science, Data Warehousing, Real-Time Analytics, Power …
This blog is part of a series of posts covering many aspects of Fabric. The first was a translation of some posts written for Synapse as a PaaS in which I exported data from an SQLDB into the Data Lake using parquet file format, and now I translated them to be reused in Fabric as …
Continue reading “Fabric Changing the game – OneLake integration”
We are excited to introduce the new data connectivity and discovery experience in Dataflow, Dataflow Gen2, and Datamart. Today, users spend a lot of time finding the right data, the right connection info and credentials. With the new Get Data experience, we make it easy to browse different Fabric artifacts through the OneLake data hub. …
Continue reading “Announcing a new modern data connectivity and discovery experience in Dataflows”
Microsoft Fabric now has even more capabilities for organizations to embrace data democratization. An Admin or Member within a workspace can share a lakehouse with another recipient. To drive collaboration, an Admin or Member could add a user or group from the tenant’s AAD to a workspace with a selected role before sharing feature was …
Continue reading “Lakehouse Sharing and Access Permission Management”
Contents Scenario overview In this blog, we will act in the persona of an AVEVA customer who needs to retrieve operations data from AVEVA Data Hub into a Microsoft Fabric Lakehouse. Note: While this scenario is using AVEVA Data Hub, the concepts translate to interacting with any REST API that uses pagination. Considerations Design Pattern …
