Upgrading Power BI Dataflows from Gen1 to Gen2 has just become more manageable with the introduction of the Dataflows Upgrade Wizard, now in preview for eligible workspaces assigned to Fabric capacity. This tool offers a guided experience, allowing users to transition their dataflows while preserving key properties and providing insights into the upgrade process.
For dataflow owners, this means less time spent on manual migration and more focus on leveraging new capabilities. The Upgrade Wizard assesses each dataflow before starting the upgrade, letting users know which items are ready and which require additional steps.
This is particularly useful for organizations that may not want to overhaul their entire dataflow architecture at once. Instead, they can take a phased approach, starting with a representative set of dataflows, validating results, and gradually expanding the upgrade across their estate.
One notable feature is that the wizard retains the original dataflow ID, schedule, queries, and connections. This continuity ensures that downstream reports and semantic models can continue functioning without needing remapping—a potential headache for many administrators.
However, it’s crucial to note that once the upgrade is completed, it cannot be reversed. If you want to keep the original Gen1 dataflow, you’ll need to use the ‘Save As’ option to create a separate Gen2 item.
The new Fabric Dataflows Gen2 builds on the existing Power Query authoring experience but introduces enhancements aimed at development and operational integration. Users can now take advantage of features like Git integration for source control, which facilitates collaboration and deployment across different environments.
This is a significant step forward for teams looking to implement best practices in development workflows.
Performance improvements are also on the table, with Microsoft reporting refresh times that can be 1.6 to 21 times faster with Gen2, depending on various factors like data and query design. For admins, these performance boosts can translate into more efficient data processing, allowing for quicker insights and decision-making.
However, the variability in performance outcomes means that teams should rigorously validate their specific workloads before fully committing to the upgrade.
While the Upgrade Wizard aims to simplify the transition, there are some limitations to be aware of. The assessment may not catch every potential issue, such as legacy connector use or specific configurations that could complicate the upgrade. Users may encounter dataflows flagged as needing attention, which could require further action before proceeding.
This aspect of the upgrade could present challenges for less tech-savvy users or those unfamiliar with the intricacies of their dataflows.
In summary, the Upgrade Wizard for Power BI Dataflows presents a more streamlined, user-friendly path to modernization, but it’s essential for teams to approach the transition with a clear understanding of their data architecture and the specific needs of their organization.
The wizard's ability to assess readiness is a welcome feature, but organizations should remain vigilant about potential gaps in the assessment process.
For those interested in exploring the Upgrade Wizard, Microsoft has provided resources and documentation to assist users in navigating this transition. As always, careful planning and validation will be key to ensuring a smooth upgrade experience.