The Microsoft product group recently did an AMA on Reddit on their newest and greatest Analytical Product “Microsoft Fabric” announced in the build conference.
Dataflows Gen2 brings forth a complete ETL/ELT data integration experience, revolutionizing the way businesses extract, transform, and load data. In this blog post, we delve into the exciting features and advancements that make Dataflows Gen2 a game-changer in the realm of data integration.
Dataflows Gen2 is presented as an evolution of Dataflows with several enhancements and capabilities. It introduces output destinations, allowing the transformation results to be written to various targets.
It is built on Fabric compute engines, addressing performance and scale issues. It leverages Fabric Lakehouse for staging and integrates with monitoring. Data import/copy is made faster with the integration of petabyte scale copy.
Overall, Dataflows Gen2 aims to provide a more versatile and flexible data transformation experience with better performance and scale compared to its predecessor, Dataflows.
In Microsoft Fabric, a lakehouse is implemented using Azure Data Lake Storage, and a data model/dataset is implemented using Azure SQL Database.
Here is a table that summarizes the differences between a lakehouse and a data model/dataset:
With the introduction of Dataflows Gen2, organizations now have access to a powerful and versatile data integration tool that goes beyond the confines of Power BI.
The ability to leverage multiple output destinations, improved performance and scale, seamless monitoring integration, and enhanced authoring capabilities make Dataflows Gen2 a vital component in the data management toolkit.
As Microsoft continues to refine and expand upon this technology, the possibilities for transforming and extracting insights from data become even more compelling. Embrace the power of Dataflows Gen2 and unlock a world of potential for your data integration needs.