Talk to Your Data: GDPR-Ready on Databricks
Details
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:
š„ Assess your current data landscape for GDPR readiness on Databricks
š„ Implement data classification, masking and monitoring in Unity Catalog
š„ Apply governance mechanisms that scale with new data and Users
š„ Move from compliance risk to a practical, audit-ready framework
š„ Leverage Unity Catalog to set the data scope for AI use cases
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
š Recording available for registered participants
Duration: 1h, Online on Zoom or LinkedIn
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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.
š Register for the Conversational Analytics webinar
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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.
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