Kyle Hale

AI is changing the data analyst role — staying competitive requires a shift from manual tasks to architecting intelligent systems. This session provides a roadmap for analysts to move beyond technical toil toward building governed AI intelligence layers. We'll explore new ways of working and delivering value throughout the analytics lifecycle, and how Databricks can help. We will cover the following typical analyst journeys: accelerating data discovery and wrangling with agent mode in Databricks Assistant; ensuring data consistency by defining business semantics in the Metric View UI; enabling stakeholder self-service through conversational AI analytics with Genie; democratizing data products by connecting them to popular tools like Excel and Slack; building custom, high-impact interfaces for advanced scenarios using Databricks Apps. This session offers a blueprint for becoming an augmented analyst, delivering scalable AI services that grow with your organization.

Unlock the truth behind data modeling in Databricks. This session will tackle the top 10 myths surrounding relational and dimensional data modeling. Attendees will gain a clear understanding of what Databricks Lakehouse truly supports today, including how to leverage primary and foreign keys, identity columns for surrogate keys, column-level data quality constraints and much more. This session will talk through the lens of medallion architecture, explaining how to implement data models across Bronze, Silver and Gold tables. Whether you’re migrating from a legacy warehouse or building new analytics solutions, you’ll leave equipped to fully leverage Databricks’ capabilities, and design scalable, high-performance data models for enterprise analytics.

Unlock the truth behind data modeling in Databricks. This session will tackle the top 10 myths surrounding relational and dimensional data modeling. Attendees will gain a clear understanding of what Databricks Lakehouse truly supports today, including how to leverage primary and foreign keys, identity columns for surrogate keys, column-level data quality constraints and much more. This session will talk through the lens of medallion architecture, explaining how to implement data models across bronze, silver, and gold tables. Whether you’re migrating from a legacy warehouse or building new analytics solutions, you’ll leave equipped to fully leverage Databricks’ capabilities, and design scalable, high-performance data models for enterprise analytics.

Unlock the full potential of your BI tools with Databricks. This session explores how features like Photon, Databricks SQL, Liquid Clustering, AI/BI Genie and Publish to Power BI enhance performance, scalability and user experience. Learn how Databricks accelerates query performance, optimizes data layouts and integrates seamlessly with BI tools. Gain actionable insights and best practices to improve analytics efficiency, reduce latency and drive better decision-making. Whether migrating from a data warehouse or optimizing an existing setup, this talk provides the strategies to elevate your BI capabilities.