EMEA | Monthly Hands-On Workshop

Databricks Foundational Workshops

Level up your data and AI skills

Unity Catalog Workshop 8 April 

AI Workshop 13 May

SQL Workshop Coming soon

The Foundational Workshop Series is back — and more interactive than ever. Each month, join live virtual sessions led by expert instructors, complete with guided labs, Q&A and practical exercises.

Whether you are a Data Engineer, Data Analyst, Data Scientist, Data Architect, Apps Developer, or other practitioner, these workshops are designed to help you build confidence with Databricks — from governed data foundations to SQL analytics and AI use cases. Check out the agenda below.

Upcoming Workshops

Unity Catalog: Unified, Open Governance for Data & AI

 
Wednesday 8 April 2026,  9 AM BST | 10 AM CEST

 

Effective governance is essential to democratising data and AI in the age of LLMs and generative AI. Enterprises struggle with fragmented governance across databases, warehouses, lakes, and diverse data formats, which complicates discovery, access permissions, data usage, audits, and sharing.

 

Additionally, users often cannot access the right data from their preferred tools, leading to vendor lock-in. Managing ML models and AI tools for regulatory compliance adds another layer of complexity.

 

Databricks Data Intelligence Platform features Unity Catalog, a unified and open governance solution for data and AI. Unity Catalog enables organisations to seamlessly govern structured and unstructured data, machine learning models, notebooks, dashboards, and files across any cloud or platform. With wide interoperability across the Delta and Iceberg ecosystems, users can access data effortlessly from any tool of their choice, ensuring flexibility and eliminating vendor lock-in.
 
In this session, you will learn how to:

  • - Create a unified catalog for structured/unstructured data, ML models, and features, AI tools
  • - Utilise context-aware natural language search and discovery
  • - Implement access permissions and audit data access
  • - Access data and AI assets from any tool open APIs
  • - Use AI to monitor data and ML pipeline quality
  • - Share data effortlessly across clouds, regions, or platforms with open source Delta Sharing
 

Speakers

Image of Axel Richier

Axel Richier

Solutions Engineer

Databricks

Image of Carlota Lopes Dias

Carlota Lopes Dias

Senior Solutions Engineer

Databricks

Image of Carlos Rodrigues

Carlos Rodrigues

Sr. Specialist Solutions Architect

Databricks

Image of Sanjay Ashok

Sanjay Ashok

Solutions Architect

Databricks