Integrating Azure Databricks and Microsoft Fabric
This article plunges into a hot topic often brought up during customer interactions — the combination and integration of Azure Databricks and Microsoft Fabric. Both services are top tier in their respective fields. Azure Databricks excels in scaling data engineering, data science, and machine learning workloads. Similarly, Microsoft Fabric shines with its simplicity and self-service features for a wide array of data usage. The burning question that usually arises is: how do we integrate these two powerhouses? Currently, there are five options to consider. Keep in mind that this article may evolve as new features are introduced. Enhance a Databricks-enabled architecture by adding a reporting and analysis layer. Compliment a Databricks-enabled architecture by incorporating a OneLake gold layer. Make Databricks write all data to OneLake. Though not recommended, it’s worth discussing. Extend Databricks with a V-ORDERED enabled consumption layer Enhance Databricks and Microsoft Fabric’s d