As a Data Architect at Datashift, I've had the opportunity to work extensively with Microsoft Fabric since its introduction. Over the past year and a half, Fabric has shown tremendous promise, but like any new technology, it has had its challenges.
Self-service BI allows business users to independently access, visualize, and analyse data. Although this sounds very promising for organizations, it also introduces challenges and potential pitfalls.
Envision a situation where you're tasked with managing clickstream data received via Snowplow. In this blog post, we'll guide you through our solution, step by step.
In this technical blog post, we will explore the key features and benefits of MSSparkUtils, and how it can be effectively utilized to accelerate working with Spark on Azure Fabric.
