Summary
Since a lakehouse based on Medallion architecture combines the best of data lakes and data warehouses by breaking silos and removing data duplicity, it’s becoming more popular as the de facto standard for building data platform architecture. Microsoft Fabric, with its native capabilities, makes it easy to build data analytics systems based on lakehouses.
In this chapter, you learned about creating an end-to-end lakehouse-based data analytics system. You learned about the different components in this architecture pattern and how to implement them quickly to derive business values. Further, you learned about ingesting data from a data source to your lakehouse using pipelines, transforming this data with notebooks/Spark, and then using Power BI—with its new Direct Lake mode—to create reports and dashboards. You also learned about the capabilities that Fabric provides to build a decentralized data architecture with data meshes.
In the next chapter, you...
