This guide can be considered a follow up of the Power BI Tips and Tricks part.3 guide where I explained in detail how to develop a Power BI enterprise scalable solution, leveraging Dataflows, DataMart, Deployment pipeline and Power Query online.
This time I explain how to leverage Fabric items to develop a scalable solution.
Particularly this guide focuses on:
- Dataflows Gen-2 and their data destination (the Lakehouse), making them suitable for transforming large datasets.
- The possibility of using Spark Notebooks for quick exploratory data analysis and visualization within a Lakehouse.
- Again using the Notebooks, combined with Data Pipelines, to integrate Python and SQL, on top of Power Query, within ETL flows.
- Report development using Direct Lake, when dealing with big data.