Guidance to Maximizing Productivity and Efficiency for your Data Engineering Workloads Data engineering teams often grapple with the complexities of planning and configuring compute resources for their data platforms. This is especially true when working with large-scale, complex datasets and demanding downstream SLAs. A one-size-fits-all approach is rarely effective, as different data layers and datasets … <p class="link-more"><a href="https://blog.fabric.microsoft.com/en-us/blog/optimizing-spark-compute-for-medallion-architectures-in-microsoft-fabric/" class="more-link">Continue reading<span class="screen-reader-text"> “Optimizing Spark Compute for Medallion Architectures in Microsoft Fabric”</span></a>

As part of Microsoft Fabric, a new storage mode to connect from Power BI to data in OneLake has been introduced. Direct Lake it makes to possible to use your data from OneLake in Power BI without t…

In this blog article, we will explore four end-to-end scenarios that are typical paths our customers take to extract value and insights from their data using Microsoft Fabric. In these scenarios, we will show you how Fabric seamlessly addresses common architectural scenarios with a single service that encompasses data ingestion, transformation, storage, and exposure through reports or SQL endpoints.