Scenario I have a notebook that processes hot data every 5 minutes. Meanwhile, another pipeline processes historical data, and I want to create a summary table that uses the hot data incrementally …

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>

Identity column feature is an excellent example of the "missing puzzle" in Microsoft Fabric. Hence, we still have to rely on some workarounds and "hacks" to get the job done. This article helps you choose the solution that will play to your strengths

Learn more about delta lakes and how thwy work from Gerhard.