Unleash the full potential of your data with our talk, "Sub-second Power BI Dashboards Directly on the Data in Your ADLS Storage Using Dremio." In this engaging discussion, we'll dive into the challenges that arise when using extracts and cubes to accelerate Power BI dashboards, and how Dremio, with its data reflections, simplifies the process while preserving consistency.

Traditional methods of accelerating Power BI dashboards often involve the creation of extracts and cubes. While these techniques can enhance query performance, they introduce complexities in data preparation, maintenance, and synchronization. The quest for faster dashboards often results in a trade-off between speed and consistency.

Enter Dremio, a game-changer in the world of data acceleration. In this talk, we'll explore how Dremio's approach to data reflections revolutionizes the way you create dashboards directly on your data stored in Azure Data Lake Storage (ADLS). Key highlights include:

- A comprehensive examination of the complexities and consistency issues associated with extract and cube-based approaches for accelerating Power BI dashboards.

- How Dremio's data reflections eliminate the need for extracts and cubes by providing sub-second query performance directly on your data in ADLS.

- Real-world examples showcasing how Dremio empowers data professionals to create high-performance dashboards while maintaining data consistency.

- The benefits of a simplified and more agile approach to data acceleration, resulting in faster insights and reduced overhead.

Join us to discover how Dremio's data reflections can redefine your Power BI dashboard acceleration strategy. Say goodbye to the complexities of extracts and cubes, and embrace a more direct, efficient, and consistent way to access and visualize your data. Don't miss this opportunity to learn how Dremio can supercharge your analytics workflow.