Talk To Your Data is a new Xebia webinar series built on real project case studies from the Databricks environment. Together, the sessions walk you through conversational analytics from the ground up: starting with data governance, through setting up agents in practice, to talking to your data in natural language. The goal: practical AI enablement for organizations: broader access to data across roles and teams, new AI use cases built on a governed foundation, faster implementation, and real-time insights that support everyday decisions.
This session focuses on the first step: building a governed data foundation that keeps your organization GDPR-compliant, so everything that comes after (from self-service analytics to conversational AI) can be trusted, secure, and audit-ready.
During the session, you will learn how to
🔥 Assess your current data landscape for GDPR readiness on Databricks
🔥 Implement access control, security, and auditability with Unity Catalog
🔥 Establish data lineage and traceability across your Lakehouse
🔥 Apply governance mechanisms that scale across teams and use cases
🔥 Move from compliance risk to a practical, audit-ready framework
The result: a governed data foundation that keeps you GDPR-compliant while enabling everything that comes next: from self-service analytics to AI adoption.
When: 8 October, 14:00 CET
👉 Recording available for registered participants
Duration: 1h, Online on Zoom or LinkedIn
Continue "Talk to Your Data" Series
Want to see governance in action? This session sets the stage for our next webinar, Talk To Your Data: Conversational Analytics for Business Teams, on October 22. It shows how a governed data foundation like the one covered here becomes the basis for natural-language, self-service analytics with Genie Agents.
👉 Register for the Conversational Analytics webinar
Meet the Speakers:
Maria Buczkowska
Lead Data Architect, Xebia
Senior Data Engineer with a proven track record of harnessing the power of data to drive innovation and efficiency. With over 9 years of experience in the field, I specialize in ETL processes, cloud solutions, and data storage, with a strong foundation in programming languages such as Python and SQL.
I am passionate about using technology to make a positive impact on the world. As I continue to explore the frontiers of data engineering, I seek opportunities to collaborate with like-minded professionals and organizations that are committed to innovation and excellence.