This video is a quick walk-through using a Fabric pipeline to import data from a Snowflake Data Warehouse to a Lakehouse Delta Table. Snowflake data sources are supported out-of-the-box in Fabric, making this type of integration straightforward!
A frequently updated collection of information, training and exam preparation resources for those preparing to pass the Microsoft DP-600 exam leading to the Microsoft Certified: Fabric Analytics Engineer Associate certification
When processing Fabric files and tables in a Medallion architecture, often we need to move data between Lakehouses. This post covers how to easily read & write data between Lakehouses in the same Workspace.
At the 2024 Fabric Community Conference Microsoft announced support in the On-premises data gateway for Microsoft Fabric Data Pipelines and Data Flows (Gen2). This post explains how this feature works and demonstrates how to access On-Prem SQL Server data from a Fabric Workspace
Microsoft Fabric includes a rich set of Data Science features, including Jupyter notebooks and the Synapse ML library, enabling scalable machine learning features. In this post we'll use Synapse ML to update an Azure AI Search index from a Jupyter notebook.
Microsoft is a leader in enterprise-focused AI and Data Science tools and platforms. However, it can be confusing to choose between services that have overlapping feature sets. What factors are important to consider when choosing between Fabric and Azure Machine Learning?
Microsoft Fabric's Data Science workload leverages Synapse ML for training and are ideally suited to enrich data stored in a data lake. This video walks through the steps to export a model from Fabric, Import it into an Azure ML workspace, and deploy it to a real-time inference endpoint
Explore Azure Machine Learning's selection of pre-trained models from leading sources like OpenAI, Microsoft, and Hugging Face. In this video I'll guide you through the process of choosing, deploying a model on Azure's computing services, and accessing it through a REST API.
You've probably used %pip install to include open source libraries in your Fabric notebooks, but did you know you can also easily install your own custom Python libraries?