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.
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.
Azure AI Document Intelligence can read images and PDF scans of forms, extracting data for later use in data solutions. While various language SDKs are available, it's also possible to call these services directly using the REST API. This tutorial walks through the REST API process.
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.
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.