Delighted to announce that the recording of my presentation at the recent Data Innovation Summit in Stockholm is now available : 10 data model governance tips using SqlDBM & the Snowflake Data Cloud.
With a theme of “From data to innovation in the age of applied and generative AI”, the conference included over 300 Nordic and international speakers, and over 3000 attendees.
During my talk, I cover a variety of areas, from correct data model type selection to the role of Data Modeling in AI solution delivery.
Session Summary:
1) Data model selection – covering areas such as Conceptual, Logical, and Physical Data Models
2) Tooling selection – SqlDFM for Data Modeling, and target environment of the Snowflake Data Cloud
3) Table design, the user interface, and how to get the most out of Snowflake CoPilot
4) Metadata management – Data Dictionaries, Business Definitions, and why they are so important
5) Data Classification (Tagging) and the role it plays in regulatory compliance and row & column level security on the Snowflake Data Cloud
6) View Lineage – column level lineage
7) Version control & model collaboration – Concurrent users
8) Forward engineering and pushing to DevOps
9) Automatic Schema drift detection on the Snowflake Data Cloud
10) The role of Data Modeling in AI, and how this relates to Data Quality Management
For 10 data model governance tips using SqlDBM & the Snowflake Data Cloud in less than 20 minutes, check out the video below.
If you have any questions, do get in touch!
© Dan Galavan 2024