Microsoft Fabric Updates Blog

Announcing an end-to-end workshop: Analyzing Wildlife Data with Microsoft Fabric

Announcement Announcing an end-to-end workshop on how you can build a powerful data analytics solution using Microsoft Fabric, to handle large-scale and complex data sets. This workshop provides you with a working knowledge on how to: The only pre-requisite to complete the workshop is a Microsoft Fabric License or alternatively you can Start the Fabric … Continue reading “Announcing an end-to-end workshop: Analyzing Wildlife Data with Microsoft Fabric”

Create Metadata Driven Data Pipelines in Microsoft Fabric

Metadata-driven pipelines in Azure Data Factory and Synapse Pipelines, and now, Microsoft Fabric, give you the capability to ingest and transform data with less code, reduced maintenance and greater scalability than writing code or pipelines for every data source that needs to be ingested and transformed. The key lies in identifying the data loading and … Continue reading “Create Metadata Driven Data Pipelines in Microsoft Fabric”

Fabric changing the game: Logging your workload using Notebooks.

I was working on an example for a customer about logging a file error of execution while you are running multiple notebooks in parallel in a try-and-catch scenario. While thinking about that scenario in a Fabric environment I realized this work is now so much easier. As I mentioned before in other posts, OneLake integration … Continue reading “Fabric changing the game: Logging your workload using Notebooks.”

Use Semantic Kernel with Lakehouse in Microsoft Fabric

Microsoft Fabric allows enterprises to bind different data sources through OneLake, and data engineer can call a unified API for different business scenarios to complete data analysis and data science. This article will describe how to allow data scientists to use Semantic Kernel with Lakehouse in Microsoft Fabric In Microsoft Build 2023, Microsoft proposed the … Continue reading “Use Semantic Kernel with Lakehouse in Microsoft Fabric”