Unlock the full potential of Delta Lake, the open-source storage framework for Apache Spark, with this session focused on its latest and most impactful features. Discover how capabilities like Time Travel, Column Mapping, Deletion Vectors, Liquid Clustering, UniForm interoperability, and Change Data Feed (CDF) can transform your data architecture. Learn not just what these features do, but when and how to use them to maximize performance, simplify data management, and enable advanced analytics across your lakehouse environment.

Are you ready to unlock the full power of Unity Catalog managed tables? This session delivers actionable insights for transitioning to UC managed tables. Learn why managed tables are the default for performance and ease of use, and how automatic feature upgrades future-proof your architecture. Whether you manage thousands of tables or want to streamline operations, you’ll gain the tools and strategies to thrive in the era of intelligent data management. Join us and discover how easy it is to move to UC managed tables!

Databricks announced two new features in 2024: AI/BI Dashboards and AI/BI Genie. Dashboards is a redesigned dashboarding experience for your regular reporting needs, while Genie provides a natural language experience for your last-mile analytics. In this session, Databricks Solutions Architect and content creator Youssef Mrini will present alongside Databricks MVP and content creator Josue A. Bogran on how you can get the most value from these tools for your organization. Content covered includes: Setup necessary, including Unity Catalog, permissions and compute Building out a dashboard with AI/BI Dashboards Creating and training an AI/BI Genie workspace to reliably deliver answers When to use Dashboards, Genie, and when to use other tools such as PBI, Tableau, Sigma, ChatGPT, etc. Fluff-free, full of practical tips, and geared to help you deliver immediate impact with these new Databricks capabilities.

In this session, we will explore effective strategies for optimizing costs on the Databricks platform, a leading solution for handling large-scale data workloads. Databricks, known for its open and unified approach, offers several tools and methodologies to ensure users can maximize their return on investment (ROI) while managing expenses efficiently. Key points: Understanding usage with AI/BI tools Organizing costs with tagging Setting up budgets Leveraging System Tables By the end of this session, you will have a comprehensive understanding of how to leverage Databricks' built-in tools for cost optimization, ensuring that their data and AI projects not only deliver value but do so in a cost-effective manner. This session is ideal for data engineers, financial analysts, and decision-makers looking to enhance their organization’s efficiency and financial performance through strategic cost management on Databricks.