How to Apply AI-Driven Sentiment Analysis models in a Fabric Data Lake Solution
This video shows you how to use Azure AI sentiment analysis machine learning models within a Fabric Jupyter notebook to add user sentiment features to Data Lake tables.
Fabric
20 posts
Leveraging Azure AI Translation into a Fabric Data Lake Solution
We can leverage Azure AI services directly in Spark notebooks to enrich and transform data using Language AI Services. Learn how to use these powerful services using a Python Jupyter notebook stored in a Fabric workspace.
Using Azure AI Document Intelligence with Microsoft Fabric
In this post learn how to build a Document Intelligence solution within Microsoft Fabric. This solution incorporates Azure AI to extract text from scanned documents. Using a Spark Notebook and Synapse ML, we can easily ingest scanned document data into a Data Lake solution.
Committing a Microsoft Fabric Workspace to a Git Repository
Microsoft Fabric supports connecting Fabric Workspaces with Git repositories. Watch this video to learn how to setup and use Git repos with Fabric. We'll cover configuration, synching notebooks and other content, as well as how to use Git to recover unintended changes to notebooks.
Using Predictive Machine Learning Models to Enrich Fabric Data Lake Tables
Microsoft Fabric combines many workloads into a unified architecture, making it easier to leverage both Data Engineering and Data Science techniques in a single platform solution.
Creating an Amazon S3 Shortcut in a Microsoft Fabric Lakehouse
Shortcuts allow Fabric users to access data resources in other public clouds as if they were stored in the data lake, making it easier for Lakehouse users to access external data sources. This post walks through the process to connect an S3 bucket to a Fabric Lakehouse.
Accessing Azure Key Vault Secrets from Fabric Notebooks
When creating solutions in Microsoft Fabric, it's often necessary to access services from external systems. This post demonstrates how to create an Azure Key Vault, store secrets in the vault, and then use them within Notebooks.
Query Microsoft Fabric Lakehouse Tables from C# Applications
When we create a Fabric Lakehouse, a SQL Server connection string is created automatically. This connection string can be used to query Lakehouse tables! This post walks through the code to create a C# app that reads data from a Lakehouse table.
Display a Power BI Report in a Microsoft Fabric Jupyter Notebook
We can use the Power BI Python client to display a Power BI report right in a Jupyter notebook in Fabric. This video shows how to do this voodoo magic!