Organisations increasingly rely on data but often lack a clear understanding of what they actually manage: insight is missing, datasets are poorly mapped, and metadata is scattered. A solid data administration provides structure and clarity.

Alec Sharp shares simple and timeless techniques to improve any sort of business modelling, not just concept or data modeling, and increase engagement with your business partners.

Data Mesh is something every organization talks about but few are actually doing. This framework for federated data management and governance promises a lot and demands even more, but some elements in the paradigm can be beneficial for every organization: especially, data products & domains. Thinking in terms of products and domains also demands new approaches from data modeling – join this session to find out how data modeling works in the Data Mesh!

We are used to managing data before deploying AI: carefully collecting, cleaning and structuring it. But that is changing. AI now helps to improve data itself: automatically enriching, validating, integrating and documenting it. We are moving from static management to dynamic improvement: AI brings data to life and changes how we deal with it

The data lake world is shifting from Hive to formats like Iceberg, Hudi, Delta Lake and DuckDB. This session offers practical guidance on schema evolution, time travel, ACID and metadata, highlighting pros, pitfalls and costs so you can choose the right format with confidence.

A five-week Data Governance Sprint uses a structured, workshop-driven method to cut debate, align stakeholders, and deliver practical results fast. It establishes clear roles, a business glossary, an operating model, and early wins that build momentum for data governance.