Integrating SparkLin with Microsoft Purview allows for capturing and visualizing end-to-end data lineage in Spark environments. This enhances governance, transparency, and audit readiness. The refined SparkLin codebase ensures seamless integration into data governance frameworks.
For many organizations, establishing a modern data platform can be daunting. Microsoft Fabric proves however that it doesn’t have to be. Fabric is designed to simplify, unify, and empower your modern data platform. With easy setup, familiar integration and powerful features, the platform offers organizations of all sizes a unique opportunity to adopt data-driven strategies. Whether you’re just beginning to explore data analytics or are ready to elevate your data strategy, Fabric has something to offer.
In this blogpost, we share insights from our hands-on experience with Microsoft Fabric, including some intriguing benefits and lessons learned. Our goal? To inspire you and dispel any doubts, so that you feel confident that setting up a modern data platform using Microsoft Fabric is achievable in your organization too.
While it used to be only available in Power BI, you can now build Default Semantic Models directly in Fabric using your tables from the Lakehouse or Warehouse.
Let’s dive into how we troubleshooted such performance issues and how Hyperscale came to the rescue.
