Marius Panga

Every team wants to accelerate work with AI agents, so why are engineers the only ones with true AI coworkers? This session introduces Genie One, the data-smart AI coworker for business users, grounded in your business context. Learn how Genie connects enterprise knowledge and unstructured content to deliver richer insights, orchestrates Genie Agents to complete complex tasks, and takes governed actions on your behalf, including automating recurring work. You will leave with a clear understanding of how Genie connects people, data, and context to get work done.

Retail operations depend on accurate, timely data, but many organizations still rely on legacy change data capture approaches that behave like batch pipelines, creating delays, data inconsistencies, and operational risk. In this session, we share our real-world journey modernizing ingestion from a retail depot management platform. We will discuss the successes and pitfalls, and how we crafted and curated our new solution iteratively, with the use of new Databricks functionality such as AutoCDC and Lakeflow Connect. Transforming our complicated, cumbersome legacy solution into a streamlined and scalable workflow.

In this session, we'll show you how to supercharge your End-to-End Power BI & Databricks DevOps pipeline using Tabular Editor and Databricks Asset Bundles (DABs). Automate data pipeline development, Power BI model deployments, version control, and CI/CD, all while building scalable, end-to-end...

In the rapidly-evolving field of data analytics, (AI/BI) dashboards and Power BI stand out as two formidable approaches, each offering unique strengths and catering to specific use cases. Power BI has earned its reputation for delivering user-friendly, highly customisable visualisations and reports for data analysis. On the other hand, AI/BI dashboards have gained good traction due to their seamless integration with the Databricks platform, making them an attractive option for data practitioners. This session will provide a comparison of these two tools, highlighting their respective features, strengths and potential limitations. Understanding the nuances between these tools is crucial for organizations aiming to make informed decisions about their data analytics strategy. This session will equip participants with the knowledge needed to select the most appropriate tool or combination of tools to meet their data analysis requirements and drive data-informed decision-making processes.

Prior to the introduction of system tables, the cost management and cross charge of Databricks platform can be complicated. This session will cover the structure and content of different system tables and how they can used to make cost management efficient and provide audience with an example visualization of Databricks cost management and cross charging in the form of a Power BI template. The session is aimed at Databricks admins and budget holders. This is a beginner to intermediate session with no prerequisite. Audience will walk away with a good understanding of the data model of Databricks system tables and a Power BI template to visualize cost and cross charge of Databricks spending with ease.

The keynote will cover the highlights from the Data and AI Summit, as seen through the eyes of four different personas — data engineer, data steward, data scientist, and data analyst—showcased via a compelling end-to-end technical demo. Silviu, the trigger-happy data engineer, will make data ingestion and transformation easier through a simple live demo of automated jobs and serverless compute - demystifying orchestration and requiring little help from any additional cloud platform teams Marius, the slightly paranoid data steward, will show the audience how to ensure adequate data governance controls are in place, without slowing down the other team members, via Attribute Based Access Controls(ABAC) in Unity Catalog Athulya, the Gen AI enthusiast, will demonstrate how to integrate this enterprise data into the AI lifecycle using Mosaic AI, in a secure and cost-effective manner. Liping, the newbie data analyst, will demonstrate a generative BI experience in Databricks using Genie and how to utilize AI functions in SQL. After this keynote, the audience should have a better understanding of what the recently announced Databricks functionality means and how it could impact the day-to-day work of people within their organization.

Prior to the introduction of system tables, the cost management and cross-charge of Databricks platform can be complicated. This session will cover the structure and content of different system tables and how they can be used to make cost management efficient and provide the audience with an example visualization of Databricks cost management and cross-charging in the form of a Power BI template. The session is aimed at Databricks admins and budget holders. This is a beginner to intermediate session with no prerequisite. The audience will walk away with a good understanding of the data model of Databricks system tables and a Power BI template to visualize the cost and cross-charge of Databricks spending with ease.

Buckle up for a high-flying adventure! Discover how to get your very own Co-Pilot like assistant in Databricks. With the Lakehouse Assistant, simply chat with it in English, and watch as it effortlessly crafts SQL queries and scripts, demystifies complex code, and even patches up errors, all...